Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. PhD Defense: Francisco Aldarondo (August 27, 2019 9:00am) https://events.umich.edu/event/65328 65328-16571522@events.umich.edu Event Begins: Tuesday, August 27, 2019 9:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

TITLE OF DISSERTATION:
Design and Operational Analysis of Automated Guided Vehicle-Based Goods-to-Person Order Picking and Sortation Systems

CHAIR:
Yavuz Bozer

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Presentation Fri, 16 Aug 2019 10:45:02 -0400 2019-08-27T09:00:00-04:00 2019-08-27T11:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Francisco Aldarondo PhD Defense
Fall Semester Welcome Breakfast (September 3, 2019 9:00am) https://events.umich.edu/event/65892 65892-16668203@events.umich.edu Event Begins: Tuesday, September 3, 2019 9:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE students, faculty and staff.

A continental breakfast will be available in the IOE Building Commons starting at 9 a.m. on Tuesday, September 3 to celebrate the start of the fall semester!

Please come and help yourself and mingle. No RSVP is required.

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Reception / Open House Wed, 28 Aug 2019 08:59:59 -0400 2019-09-03T09:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Reception / Open House "Fall Semester Welcome Breakfast" text and IOE logo
Info Session with Air Products, hosted by SWE (September 11, 2019 6:00pm) https://events.umich.edu/event/66362 66362-16734092@events.umich.edu Event Begins: Wednesday, September 11, 2019 6:00pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Career Resource Center

Air Products touches the lives of consumers around the globe in positive ways every day. With approximately 16,000 employees and operations in 50 countries, we serve customers across a wide range of industries, including refining, chemical, metals, electronics, manufacturing, and food and beverage. We supply a unique portfolio of atmospheric and process gases, equipment and services.

We are looking for interns pursuing Chemical and Mechanical Engineering majors.

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Careers / Jobs Thu, 05 Sep 2019 08:17:33 -0400 2019-09-11T18:00:00-04:00 2019-09-11T19:30:00-04:00 Industrial and Operations Engineering Building Engineering Career Resource Center Careers / Jobs Industrial and Operations Engineering Building
Departmental Seminar (899): Robert Gramacy, Virginia Tech (September 12, 2019 3:00pm) https://events.umich.edu/event/65925 65925-16670253@events.umich.edu Event Begins: Thursday, September 12, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Replication or exploration? Sequential design for stochastic simulation experiments

Abstract:
We investigate the merits of replication, and provide methods that search for optimal designs (including replicates), in the context of noisy computer simulation experiments. We first show that replication offers the potential to be beneficial from both design and computational perspectives, in the context of Gaussian process surrogate modeling. We then develop a lookahead based sequential design scheme that can determine if a new run should be at an existing input location (i.e., replicate) or at a new one (explore). When paired with a newly developed heteroskedastic Gaussian process model, our dynamic design scheme facilitates learning of signal and noise relationships which can vary throughout the input space. We show that it does so efficiently, on both computational and statistical grounds. In addition to illustrative synthetic examples, we demonstrate performance on two challenging real-data simulation experiments, from inventory management and epidemiology.

Bio:
Robert Gamacy is a Professor of Statistics in the College of Science at Virginia Polytechnic and State University (Virginia Tech). Previously, he was an Associate Professor of Econometrics and Statistics at the Booth School of Business, and a fellow of the Computation Institute at The University of Chicago. His research interests include Bayesian modeling methodology, statistical computing, Monte Carlo inference, nonparametric regression, sequential design, and optimization under uncertainty.

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Workshop / Seminar Tue, 03 Sep 2019 16:36:19 -0400 2019-09-12T15:00:00-04:00 2019-09-12T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Robert Gramacy
IOE Lunch & Learn Seminar Series: LLamasoft, Inc. (September 13, 2019 12:00pm) https://events.umich.edu/event/66526 66526-16744972@events.umich.edu Event Begins: Friday, September 13, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE faculty, PhD students, graduate students, and undergraduate students. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, September 12, 2019. Space is limited to 25 participants.

Title:
Margin At Risk: Decision-Making to the Test

Abstract:
A leading business's profit margins are vulnerable! Players are split into teams and assigned individual roles within the business and must make decisions to tighten their supply chain network and ensure they stay competitive in the market. Each player within a team has specific business objectives based on their role's priorities - which may conflict with other role's priorities. Players will learn that success of the business hinges on interdependent decision making and data sharing -- especially when unexpected changes to their network occurs. The team that most effectively collaborates will end up as the winner!

About Llamasoft:
Llamasoft LLC provides supply chain management software. They offer software advanced analytics, capacity planning, cost to serve, demand modeling, inventory and network strategy, risk mitigation, simulation, and other related solution. They were founded in 2012 and are based right here in Ann Arbor, MI.

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Workshop / Seminar Mon, 09 Sep 2019 11:04:20 -0400 2019-09-13T12:00:00-04:00 2019-09-13T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: Jeremy Castaing, Applied Research Manager - Trasportation Optimization at LLamasoft, Inc.
Microsoft (Devices) Info Session, hosted by Theta Tau (September 15, 2019 4:00pm) https://events.umich.edu/event/66620 66620-16767964@events.umich.edu Event Begins: Sunday, September 15, 2019 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Career Resource Center

The Microsoft Devices team will be on campus recruiting engineers of all majors with an emphasis on IOE, ME, EE, and ChE. This info session will provide students with an opportunity to hear more about the team and interact with its members!

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Careers / Jobs Mon, 09 Sep 2019 10:40:45 -0400 2019-09-15T16:00:00-04:00 2019-09-15T18:00:00-04:00 Industrial and Operations Engineering Building Engineering Career Resource Center Careers / Jobs Industrial and Operations Engineering Building
Optiver Info Session, hosted by TBP (September 16, 2019 5:30pm) https://events.umich.edu/event/66674 66674-16770189@events.umich.edu Event Begins: Monday, September 16, 2019 5:30pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Career Resource Center

Optiver’s story began over 30 years ago, when we started business as a single trader on the floor of Amsterdam’s options exchange. Today, we are at the forefront of trading and technology as a leading global electronic market maker, focused on pricing, execution and risk management. With over 1,000 employees globally and 200 in our Chicago office, our mission to improve the market unites us.

Food will be provided by Zingerman's.

Majors: All Engineering Majors
Degrees: Bachelor's, Master's, Ph.D.
Positions: Full-time, Intern
Citizenship Requirement: U.S. Citizenship or Permanent Resident
Collecting resumes?: Yes

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Careers / Jobs Mon, 09 Sep 2019 12:55:53 -0400 2019-09-16T17:30:00-04:00 2019-09-16T18:30:00-04:00 Industrial and Operations Engineering Building Engineering Career Resource Center Careers / Jobs Industrial and Operations Engineering Building
Departmental Seminar (899): Lewis Ntaimo, Texas A&M University — *Stochastic Decomposition for Risk-Averse Multistage Stochastic Programming* (September 19, 2019 3:00pm) https://events.umich.edu/event/65937 65937-16676298@events.umich.edu Event Begins: Thursday, September 19, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Stochastic Decomposition for Risk-Averse Multistage Stochastic Programming

Abstract:
Mean-risk multistage stochastic programming (MR-MSP) provides a framework for modeling sequential decision-making problems under uncertainty and risk. However, MR-MSP problems are difficult to solve due to their large-scale nature and the incorporation of risk measures in the objective. This work derives multistage stochastic decomposition (MSD) for solving large-scale MR-MSP instances with deviation and quantile risk measures. We show that risk-averse MSD converges asymptotically to an optimal solution and report on a computational study on the application of MSD to long-term hydrothermal scheduling. The study provides several insights into how optimal solutions vary across different risk levels as well as across different risk measures. In particular, the results reveal that conditional value at-risk exhibits desirable control over extreme scenarios than other risk measures.

Keywords:
Multistage stochastic programming, stochastic decomposition, interior sampling, mean-risk measures.

Bio:
Lewis Ntaimo is a Professor in the Department of Industrial and Systems Engineering at Texas A&M University and has been with the university since 2004. He obtained his Ph.D. in Systems and Industrial Engineering in 2004, his M.S. in Mining and Geological Engineering in 2000, and B.S. in Mining Engineering, all from the University of Arizona. Dr. Ntaimo’s research interests are in models and algorithms for large-scale stochastic optimization, systems modeling and process optimization, and computer simulation. Recent applications include patient and resource management in healthcare, wildfire response planning, aircraft assembly line production optimization, energy reduction in data centers, and wind farm operations and maintenance. His research has been funded by the National Science Foundation, Department of Homeland Security, and industry. Dr. Ntaimo is a member of INFORMS and IISE, and he is the 2018-2019 President of the INFORMS Minority Issues Forum. He currently serves as associate editor for INFORMS Journal on Computing, IISE Transactions, IISE Transactions on Healthcare Systems Engineering, and is on the Editorial Board of the Journal of Global Optimization.

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Workshop / Seminar Mon, 23 Sep 2019 14:42:07 -0400 2019-09-19T15:00:00-04:00 2019-09-19T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Photo of Lewis Ntaimo and IOE logo
Human Performance Seminar (836): John Gosbee, University of Michigan (September 20, 2019 12:00pm) https://events.umich.edu/event/66826 66826-16779021@events.umich.edu Event Begins: Friday, September 20, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Human Performance Seminar Series (836) from the Center for Ergonomics is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title:
Teaching HFE To BME Undergraduate and Graduate Students: Lessons & Tips

Abstract:
Dr. Gosbee will present some short examples of how he teaches the basics of human factors engineering (HFE) to the biomedical engineering (BME) learners. For instance, one interactive group exercise is applying the Stroop Effect to design of labeling for medical gas cylinders. He will show how usability testing and HFE aspects of risk management fit into BME senior and graduate design courses (as co-instructor). The focus is on methods and structure required by FDA and international standards (e.g., IEC 62366). Additionally, a short overview of how he also injects some HFE into other BME courses like “Needs Finding” (BME 499, Dr. Rachael Schmedlen, lead) and Regulatory science (BME 588, Dr Joan Greve, lead) will be presented.

Bio:
John Gosbee, MD, MS teaches human factors engineering (HFE) and patient safety at the University of Michigan Departments of Internal Medicine and Biomedical Engineering. He leads development of patient safety curriculum for several medical and surgical residencies. He teaches HFE for several BME design courses, including capstone design courses, observation course, and regulatory science. He also provides HFE consultation to UM research projects that involve new device design (e.g., teleophthalmology). He has been visiting professor at dozens of universities, including Penn, Johns Hopkins, and Yale University. He has received two national awards for patient safety design (ISMP’s “Cheers Award” and AAMI’s “Career Achievement Award”. Among dozens of other publications, he edited and co-wrote the book, Using Human Factors Engineering to Improve Patient Safety. Previously, Dr Gosbee worked at Department of Veterans Affairs - National Center for Patient Safety, Assistant Professor at Michigan State University, and NASA on development of space-based medical facilities.

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Workshop / Seminar Tue, 08 Oct 2019 13:54:34 -0400 2019-09-20T12:00:00-04:00 2019-09-20T12:50:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Human Performance Seminar" text
IOE Lunch & Learn Seminar Series: John Ling, CEO, MacKenzie-Childs, LLC (September 20, 2019 12:00pm) https://events.umich.edu/event/66522 66522-16744956@events.umich.edu Event Begins: Friday, September 20, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE faculty, PhD students, graduate students, and undergraduate students. Lunch will be provided. In order to get an accurate count for food, please RSVP by Tuesday, September 17, 2019. Space is limited to 20 participants.

Title:
Career Management with The Foundational Strength of a Michigan I.O.E. Degree

Abstract:
John’s seminar will focus on career management- built on the outstanding reputation and knowledge of a University of Michigan IOE degree. He will give meaningful advice on how to make the most of your degree and opportunities moving forward, while detailing his own career journey.

Bio:
John Ling has been the CEO of MacKenzie-Childs since September 2015. John spent much of his career (15 years) at Crate and Barrel, a leading home furnishings retailer with a retail, catalog and e-commerce presence. During his time at Crate and Barrel, it grew from a regional tabletop housewares retailer to a global, multi-billion dollar, Omni-channel retailer - adding furniture, e-commerce and international retail along the way. John provided leadership for Crate and Barrel’s e-commerce platform, international retail operations, global sourcing, vendor management and end-to-end supply chain operations. Prior to MacKenzie-Childs John was CEO for Artissimo Designs, the leading provider of fashion-forward and licensed wall-art to retailers. Early in his career, John was at Frito-Lay for 10 years with roles in plant management, industrial engineering, distribution, transportation & manufacturing engineering and subsequently spent 4 years with Merck-Medco Managed Care in general management, customer service, and engineering roles.

John has an undergraduate degree in Industrial and Operations Engineering with an emphasis in Computer Sciences from the University of Michigan, Ann Arbor and an MBA in Business Management with an emphasis in Finance from Southern Methodist University, Dallas.

John is married to Robin, his high-school sweetheart and has three children; Erin, Drew and Evan and two English Springer Spaniels; Tucker and Gunner and enjoys doing anything he can do outdoors to stay fit.

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Workshop / Seminar Mon, 09 Sep 2019 10:36:52 -0400 2019-09-20T12:00:00-04:00 2019-09-20T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: John Ling, CEO, MacKenzie-Childs, LLC
Departmental Seminar (899): Shima Nassiri, University of Michigan (September 26, 2019 3:00pm) https://events.umich.edu/event/65957 65957-16676320@events.umich.edu Event Begins: Thursday, September 26, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Reference Pricing for Healthcare Services

Abstract:
The traditional payment system between an insurer and providers does not incentivize providers to limit their prices nor patients to choose less expensive providers, hence contributing to high insurer expenditures. Reference pricing has been proposed as a way to better align incentives and control the rising costs of healthcare. In this payment system, the insurer determines the maximum amount that can be reimbursed for a procedure (reference price). If a patient selects a provider charging more than the reference price, the patient is responsible for the entire portion above it. We propose a model to analyze the reference pricing payment scheme. Our model incorporates an insurer who chooses the reference price, multiple competing price-setting providers, and heterogeneous patients who select a provider based on a multinomial logit choice model. Our goal is to understand how reference pricing compares with payment systems where patients pay a fixed or a variable amount. We find that the highest-priced providers under a fixed payment system cut their prices under reference pricing. Moreover, reference pricing often outperforms the fixed and the variable payment system both in terms of expected patient utility and insurer cost, unless the procedure cost is high in relation to the reference price (i.e., the reference price is low). The entire system also benefits from reference pricing despite a loss in provider profit due to lower prices. Furthermore, reference pricing with a variable portion below the reference price tends to perform worse than reference pricing with a fixed payment below the reference price.

Bio:
Dr. Shima Nassiri is an assistant professor of technology and operations at the University of Michigan Ross School of Business. Her research interests involve (a) designing coordination mechanisms in supply chain and its applications in healthcare and public health policy using game theory and optimization techniques, and (b) studying the behavioral aspects of healthcare operations using econometrics and data-driven methods. She is particularly interested in studying the healthcare policies that are aiming to reduce healthcare expenditure by moving towards performance-based care. She received her Ph.D. from the Foster School of Business at the University of Washington.

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Workshop / Seminar Mon, 09 Sep 2019 13:45:21 -0400 2019-09-26T15:00:00-04:00 2019-09-26T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Photo of Shima Nassiri and IOE logo
PhD Defense: Thomas Chen (September 30, 2019 1:00pm) https://events.umich.edu/event/67040 67040-16796468@events.umich.edu Event Begins: Monday, September 30, 2019 1:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Thomas Chen

CHAIR: Seth Guikema

TITLE OF DISSERTATION: Advancing Quantitative Risk Analysis for Critical Water Infrastructure

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Lecture / Discussion Thu, 12 Sep 2019 13:51:15 -0400 2019-09-30T13:00:00-04:00 2019-09-30T14:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion PhD Defense: Thomas Chen
Departmental Seminar (899): Eunhye Song, Pennsylvania State University (October 3, 2019 3:00pm) https://events.umich.edu/event/66534 66534-16744983@events.umich.edu Event Begins: Thursday, October 3, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title: Sequential Bayesian risk set estimation for robust simulation optimization under input model uncertainty

Abstract:
This talk discusses a new way of approaching a discrete simulation optimization
problem when the input distributions of the simulation model are estimated with error from real-world observations. This problem is known as ‘simulation optimization under input uncertainty’ and has been studied actively in recent years. Most approaches provide either asymptotic guarantee that the selected solution is the real-world optimum as the real-world sample size increases or find the optimum to an alternative formulation such as the distributionally robust optimum. This work focuses on finite-sample inference on the relative performances of the solutions while uncertainty about the input models are captured by their Bayesian posteriors. A user-specified smallest optimality gap of interest is reflected to control conservativeness of the procedure, so that two solutions whose expected performances are within is considered practically indistinguishable. The -level risk set of solution is defined as the set of solutions whose expected performance is practically better () than with significant probability () under the posterior on the input models. The size of the risk set shows robustness of solution; an empty risk set implies that there is no practically better solution than even with input uncertainty. For efficient estimation of the risk set, the expected performance is modeled
as a Gaussian process (GP) that takes a solution and a collection of input distributions generated from their posterior as inputs. A one-step look-ahead sampling rule is proposed to choose which solution-distributions pair to simulate in the next iteration to minimize the estimation error of the risk set.

Bio:
Eunhye Song is the Harold and Inge Marcus Early Career Assistant Professor in Industrial and Manufacturing Engineering at Penn State University. She earned her PhD degree in Industrial Engineering and Management Sciences at Northwestern University in 2017 and MS and BS in Industrial and Systems Engineering at Korea Advanced Institute of Science and Technology (KAIST) in 2012 and 2010, respectively. Her research interests include design of simulation experiments, large-scale discrete simulation optimization, input uncertainty quantification, and simulation optimization in the presence of model risk. She has collaborated
with Simio, a leading discrete-event simulation software company, on developing a statistical tool to quantify input uncertainty for a Simio model, which is now a standard part of Simio’s software product. She also worked with General Motors’ R&D group on global sensitivity analysis of Vehicle Content Optimization simulator, which GM uses to find the optimal vehicle content portfolios of their major vehicle lines to maximize GM’s market share and profit. She is an active member of INFORMS Simulation Society (I-Sim) and currently serving on the I-Sim Diversity Committee chair.

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Workshop / Seminar Mon, 09 Sep 2019 13:50:51 -0400 2019-10-03T15:00:00-04:00 2019-10-03T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Departmental Seminar (899): Eunhye Song, Pennsylvania State University
IOE Homecoming Departmental Lunch (October 4, 2019 12:00pm) https://events.umich.edu/event/63950 63950-16033421@events.umich.edu Event Begins: Friday, October 4, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE alumni, students, faculty and staff.

Reconnect with IOE when you are back on North Campus! Meet with a favorite professor, hear about the latest research, talk one-on-one with our Alumni Merit Award recipient and meet current students and staff. 

Attend a free seminar presentation by Craig Russell (BSE '88) the Global Co-Head of Goldman Sachs Asset Management Client Business (GSAM).

Lunch will be available for seminar attendees in the atrium of the IOE Building. Attendees will be able to grab lunch and then attend the talk in Room 1610.

Disclaimer: Photographs and video taken at this event may be used to promote U-M Industrial & Operations Engineering, the College of Engineering, and the University of Michigan.

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Reception / Open House Thu, 03 Oct 2019 16:10:02 -0400 2019-10-04T12:00:00-04:00 2019-10-04T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Reception / Open House "Homecoming Lunch 2019" stylized text with the U-M Industrial & Operations Engineering wordmark
Seminar: Jean-luc Doumont, Founding Partner, Principiae (October 7, 2019 3:00pm) https://events.umich.edu/event/67596 67596-16900785@events.umich.edu Event Begins: Monday, October 7, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all graduate (masters and PhD) students, faculty, staff, lecturers and affiliates.

Title:
Making the Most of your Presentation

Abstract:
Strong presentation skills are a key to success for engineers, scientists, and others, yet many speakers are at a loss to tackle the task. Systematic as they otherwise can be in their work, they go at it intuitively or haphazardly, with much good will but seldom good results. In this talk, Dr. Doumont proposes a systematic way to prepare and deliver an oral presentation: he covers structure, slides, and delivery, as well as stage fright.

Bio:
An engineer from the Louvain School of Engineering and PhD in applied physics from Stanford University, Jean-luc Doumont now devotes his time and energy to training engineers, scientists, business people, and other rational minds in effective communication, pedagogy, statistical thinking, and related themes. With his rational background, he approaches communication in an original, engineering- like way that contrasts sharply with the tradition of the field, rooted in the humanities. He is thus well received by students and professionals in search of a method they can apply with the same rigor they have come to value in every other aspect of their occupations. Articulate, entertaining, and thought-provoking, he is a popular invited speaker worldwide, in particular at international scientific conferences, research laboratories, and top-ranked universities. He is happy to deliver his lectures in English, Spanish, French, or Dutch.

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Workshop / Seminar Tue, 24 Sep 2019 13:24:24 -0400 2019-10-07T15:00:00-04:00 2019-10-07T16:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Seminar: Jean-luc Doumont, Founding Partner, Principiae
Departmental Seminar (899): Allen Holder, Rose-Hulman Institute of Technology — *Robust Analysis of Metabolic Pathways* (October 10, 2019 3:00pm) https://events.umich.edu/event/65962 65962-16676323@events.umich.edu Event Begins: Thursday, October 10, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Robust Analysis of Metabolic Pathways

Abstract:
Flux balance analysis (FBA) is a widely adopted computational model in the study of whole cell metabolisms, often being used to identify drug targets, to study cancer, and to engineer cells for targeted purposes. The most widely used model is a linear program that maximizes cellular growth rate subject to achieving steady metabolic state and to satisfying environmental bounds. Quadratic and integer modifications are also common. Standard stoichiometry decides the preponderance of data in all instances, and hence, the majority of information defining an optimization model is certain. However, several key parts of a model rely on inferred science and are less certain; indeed, the method of deciding several of these values is opaque in the literature. This prompts the question of how the resulting science might depend on our lack of knowledge. We suggest a robust extension of FBA called Robust Analysis of Metabolic Pathways (RAMP) that accounts for uncertain information. We show that RAMP has several mathematical properties concomitant with our biological understanding, that RAMP performs like a relaxation of FBA in practice, and that RAMP requires special numerical awareness to solve.

Bio:
Allen Holder earned his PhD in applied mathematics from the University of Colorado at Denver in 1998. He has since studied applications of optimization in medicine, economics, production planning, analytics, and computational biology. He is currently a Professor of mathematics at the Rose-Hulman Institute of Technology, where he regularly directs some of the nation's best undergraduates through their first research experiences. He won the 2000 Pierskalla award for his work on the optimal design of radiotherapy treatments, and he won Rose-Hulman's Outstanding Scholar Award in 2015. He has held several editorial positions and has regularly served the INFORMS Health Applications Society and the INFORMS Computing Society, chairing the former in 2005 when it was a section. He recently co-authored a book titled "An Introduction to Computational Science" with his friend and colleague Dr. Joseph Eichholz. He is the proud father of two teenagers, and he fiddles with an old guitar in his spare time.

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Workshop / Seminar Mon, 23 Sep 2019 14:46:11 -0400 2019-10-10T15:00:00-04:00 2019-10-10T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Departmental Seminar (899): Allen Holder, Rose-Hulman Institute of Technology
Human Performance Seminar (836): Matt Reed, University of Michigan (October 11, 2019 12:00pm) https://events.umich.edu/event/66830 66830-16779025@events.umich.edu Event Begins: Friday, October 11, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Human Performance Seminar Series (836) from the Center for Ergonomics is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title:
The Meaning is the Variance: Population Heterogeneity Should be the Focus of Ergonomics and Biomechanics Research

Abstract:
The “50th-percentile” male is never the limiting case, and the “5th-percentile female” and “95th-percentile male” don’t exist. Why do people keep talking about them? I will discuss why mean and univariate effects in ergonomics and biomechanics often leave out most of the interesting phenomena and why we should focus our efforts in education and research on rigorous, multivariate consideration of population heterogeneity with examples from industrial ergonomics, product design, and crash safety.

Bio:
Matthew P. Reed, PhD., is the Don B. Chaffin Collegiate Research Professor and head of the Biosciences Group of the University of Michigan Transportation Research Institute. He also has appointments in Integrative Systems and Design, where he is Chair of the interdisciplinary Design Science program, and Industrial and Operations Engineering, where he leads the Human Motion Simulation Laboratory in the Center for Ergonomics. Dr. Reed’s research focuses on vehicle safety, engineering anthropometry, and ergonomics. He is an author of more than 250 publications relating to humans in engineered systems. Dr. Reed is a Fellow in SAE International and a member of the SAE Human Accommodation and Design Devices Committee, Driver Vision Standards Committee, and Truck and Bus Human Factors Committee. He has received outstanding paper awards from SAE, including the Arch T. Colwell Merit Award, the Myers Award, and the Isbrandt Award for crash safety research. He currently serves as vice-president of the International Research Council on the Biomechanics of Injury.

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Workshop / Seminar Tue, 08 Oct 2019 13:55:09 -0400 2019-10-11T12:00:00-04:00 2019-10-11T12:50:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Human Performance Seminar" text
IOE Lunch & Learn Seminar Series: Xiaolei Xei, Associate Professor, Department of Industrial Engineering, Tsinghua University (October 11, 2019 12:00pm) https://events.umich.edu/event/67983 67983-16977574@events.umich.edu Event Begins: Friday, October 11, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Wednesday, October 9, 2019. Space is limited to 20 participants.

Title: Smart Care Delivery in the Chinese Healthcare System

Abstract:
In this talk, Dr. Xie will start by introducing the basic features of the Chinese healthcare system. The most updated key metrics related to healthcare cost and access will be provided, which help identify the focus and perspectives of the systems studies and implementation toward future smart care delivery. Then he will present a few real-world projects in the area of hospital operations management. Next, a project based on continuous glucose monitoring device will be presented. Lastly, Dr. Xie will introduce a prospective payment model to be adeptly nationwide in China and possible systems integration will be discussed.

Bio: Dr. Xiaolei Xie is an associate professor in the Department of Industrial Engineering, Tsinghua University. He obtained his Ph.D. degree in Industrial and Systems Engineering in May 2014 from University of Wisconsin, Madison. His research interests are in stochastic modeling, optimization, and advanced data analytics in healthcare systems. Dr. Xie is a member of IEEE, INFORMS and IISE and currently serves as an associate editor for IISE Transactions on Healthcare Systems Engineering.

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Workshop / Seminar Thu, 03 Oct 2019 16:00:51 -0400 2019-10-11T12:00:00-04:00 2019-10-11T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: Xiaolei Xei, Associate Professor, Department of Industrial Engineering, Tsinghua University
Departmental Seminar (899): Suvrajeet Sen, University of Southern California — *Stochastic Hierarchical Planning: A Win-Win Paradigm for Power System Operations* (October 17, 2019 3:00pm) https://events.umich.edu/event/66535 66535-16744984@events.umich.edu Event Begins: Thursday, October 17, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Stochastic Hierarchical Planning: A Win-Win Paradigm for Power System Operations

Abstract:
Driven by ambitious renewable portfolio standards, variable energy resources (such as wind and solar) are expected to impose unprecedented levels of uncertainty to power system operations. The current practice of planning operations with deterministic optimization tools may be ill-suited for a future where uncertainty is abundant. To overcome the reliability challenges associated with the large-scale inclusion of renewable resources, we present a stochastic hierarchical planning (SHP) framework. This framework captures operations at day-ahead, short-term and hour-ahead timescales, as well as the interactions between decisions and stochastic processes across these timescales. While stochastic counterparts of individual optimization problems (e.g., unit commitment, economic dispatch etc.) have been studied previously, this presentation is built around a comprehensive computational treatment of planning frameworks that are stitched together in a hierarchical setting. Computational experiments conducted with the NREL118 dataset reveal that, relative to its deterministic counterpart, the SHP framework significantly reduces unmet demand, and can lead to substantial savings in costs and greenhouse gas emissions. Such a "Win-Win" paradigm is only possible through new approaches which combine OR and Data Science through Stochastic Programming.

Joint work with S. Atakan (formerly USC, and currently at Amazon) and H. Gangammanavar (SMU).

Bio:
Suvrajeet Sen is Professor at the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California. Prior to joining USC, he was a Professor at Ohio State University (2006-2012), and University of Arizona (1982-2006). He has also served as the Program Director of OR as well as Service Enterprise Systems at the National Science Foundation. Professor Sen’s research is devoted to many categories of optimization models, and he has published over one hundred papers, with the vast majority of them dealing with models, algorithms and applications of Stochastic Programming problems. He has served on several editorial boards, including Operations Research as Area Editor for Optimization and as Associate Editor for INFORMS Journal on Computing, Journal of Telecommunications Systems, Mathematical Programming B, and Operations Research. He also serves as an Advisory Editor for several newer journals. Professor Sen was instrumental in founding the INFORMS Optimization Society in 1995, and recently served as its Chair (2015-16). Except for his years at NSF, he has received continuous extramural research funding from NSF and other basic research agencies, totaling over ten million dollars as PI over his career. He and his colleagues were jointly recognized by the INFORMS Computing Society for “seminal work” on Stochastic Mixed-Integer Programming. Professor Sen is also a Fellow of INFORMS.

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Workshop / Seminar Tue, 24 Sep 2019 12:16:17 -0400 2019-10-17T15:00:00-04:00 2019-10-17T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Departmental Seminar (899): Suvrajeet Sen, University of Southern California — *Stochastic Hierarchical Planning: A Win-Win Paradigm for Power System Operations*
Human Performance Seminar (836): Marisol Barrero, MS, CPE, Toyota, Ergonomics at Toyota (October 18, 2019 12:00pm) https://events.umich.edu/event/67030 67030-16796455@events.umich.edu Event Begins: Friday, October 18, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Human Performance Seminar Series (836) from the Center for Ergonomics is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title: Utilizing Emerging Technology to Support Ergonomics

Abstract: Emerging technology, particularly wearable devices, has the potential to enhance many aspects of industrial ergonomics. Toyota has been trialing such devices since 2016, leading to the current implementation of 400+ shoulder exoskeletons. In addition, trials in wearable sensors, computer vision, and virtual/augmented reality are underway. This presentation will give an overview of the various devices in trial/use and note potential benefits to ergonomics.

Bio: Marisol Barrero has worked for Toyota Motor North America (Georgetown, KY) in the Production Engineering Division’s Safety Group since December 2006. She previously held the position of Regional Ergonomics Manager, where she supported tools, standards, and procedures for Toyota’s 15 North American manufacturing facilities. Currently, she manages the development and integration of safety-related technology and innovations across manufacturing operations, which is a role that she started at Toyota. She serves as Co-Chair of the Automotive Exoskeleton Group (AExG), sponsored via the Wearable Robotics Association. Prior to joining Toyota, Marisol worked as an ergonomics consultant with Mitsui Sumitomo Insurance Group and Humantech, as well as a researcher with the National Institute for Occupational Safety & Health (NIOSH). She received her B.A. and M.S. from Cornell University in Ithaca, NY. She has been a Certified Professional Ergonomist since 2006.

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Workshop / Seminar Tue, 08 Oct 2019 13:53:41 -0400 2019-10-18T12:00:00-04:00 2019-10-18T12:50:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Human Performance Seminar" text
Transferring into Automated Driving Era: Opportunities and Challenges (October 25, 2019 10:30am) https://events.umich.edu/event/68654 68654-17130521@events.umich.edu Event Begins: Friday, October 25, 2019 10:30am
Location: Industrial and Operations Engineering Building
Organized By: Civil and Environmental Engineering

This talk provides a summary of important human factors issues associated with Automated Vehicle technology development, and potential solutions.

Shan Bao is an Associate Professor of Industrial and Manufacturing Systems Engineering Department at University of Michigan-Dearborn.

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Workshop / Seminar Mon, 21 Oct 2019 13:20:48 -0400 2019-10-25T10:30:00-04:00 2019-10-25T12:00:00-04:00 Industrial and Operations Engineering Building Civil and Environmental Engineering Workshop / Seminar Transportation Seminar
Human Performance Seminar (836): Michael Lau, PhD, Human Factors Leader, Nemera (October 25, 2019 12:00pm) https://events.umich.edu/event/68164 68164-17020446@events.umich.edu Event Begins: Friday, October 25, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Human Performance Seminar Series (836) from the Center for Ergonomics is open to all U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title: Human Factors in Medical Device Design and Development

Abstract: The importance of human factors within the development of medical devices and combination products has risen greatly within the last 10 years. FDA and international guidance/standards have prescribed a comprehensive, risk-based, human-centered design approach supported by usability data. The human factors engineering role has become a pivotal role in organizations to define, design for, and protect the needs of users throughout the development process. This talk will share current practices and case study at Nemera - Insight Innovation Center - Chicago (formerly Insight Product Development), a design innovation consultancy that focuses on developing solutions for the med device and pharma industries. This talk will focus on the types of activities conducted and the human factors skill set needed to succeed in this industry.

Bio: Michael Lau, PhD, is the human factors leader at Nemera. He completed his doctorate in IOE in 2011 under Dr. Armstrong. As an HF consultant, Michael and his team work with many different pharmaceutical, medical device, and consumer managed healthcare companies, from start ups to Fortune 500. His work encompasses devices in the surgical, combination product, diagnostic, parenteral, and other areas and many different patient populations such as rare diseases, autoimmune disorders, and other debilitating conditions.

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Workshop / Seminar Tue, 08 Oct 2019 13:51:27 -0400 2019-10-25T12:00:00-04:00 2019-10-25T12:50:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Human Performance Seminar (836): Michael Lau, PhD, Human Factors Leader, Nemera
IOE Lunch & Learn Seminar Series: Corey Lester, U-M College of Pharmacy (October 25, 2019 12:00pm) https://events.umich.edu/event/68541 68541-17096935@events.umich.edu Event Begins: Friday, October 25, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE faculty, staff, and PhD students. Lunch will be provided. In order to get an accurate count for food, please RSVP by Wednesday, October 23, 2019. Space is limited to 20 participants.

Title:
Leveraging pharmacy and medication data to improve human health

Abstract:
Following the life cycle of prescription drugs, from prescribing decisions to their associated outcomes, I discuss research opportunities and challenges in the medication use domain. I’ll focus on outpatient pharmacy (e.g., retail and mail-order environments) and share my past research designing and evaluating the use of technology on pharmacy practice outcomes. I share future directions in the field and cover relevant data generated by the industry. My primary goal for this lunch and learn is to communicate with IOE researchers and learn more about the perspectives of its faculty, researchers, and students in order to improve my own research and knowledge of the discipline. I hope that by introducing my work we can identify potential opportunities for collaboration. I have also identified several federal grant announcements that are relevant to medication safety, machines, and processes. I want to strengthen connections between Industrial and Operations Engineering and the College of Pharmacy.

Bio:
Corey Lester is a research assistant professor of clinical pharmacy at the University of Michigan College of Pharmacy. He received an MS and PhD in Social and Administrative Sciences from the University of Wisconsin-Madison, School of Pharmacy. Previously, he graduated with a PharmD from the University of Rhode Island in 2012. His area of interest focuses on improving medication use outcomes by preventing errors, improving pharmacist work, and optimizing drug therapy with machine knowledge. He is currently evaluating machine learning applications for transcribing electronic prescription directions, using a publicly available application programming interface to detect wrong drug selection errors, and determining the impact of these technologies on healthcare.

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Workshop / Seminar Thu, 17 Oct 2019 14:11:47 -0400 2019-10-25T12:00:00-04:00 2019-10-25T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: Corey Lester
Departmental Seminar (899): Santanu Dey, Georgia Tech — *Convexification of substructures in quadratically constrained quadratic program* (October 31, 2019 3:00pm) https://events.umich.edu/event/66536 66536-16744985@events.umich.edu Event Begins: Thursday, October 31, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Convexification of substructures in quadratically constrained quadratic program

Abstract:
An important approach to solving non-convex quadratically constrained quadratic program (QCQP) to global optimality is to use convex relaxations and branch-and-bound algorithms. In our first result, we show that the exact convex hull of the solutions of a general quadratic equation intersected with any polytope is second-order cone representable. The proof is constructive and relies on the discovery of an interesting property of quadratic functions, which may be of independent interest: A set defined by a single quadratic equation is either (1) the boundary of a convex set, or (2) the boundary of union of two convex sets or (3) it has the property that through every point on the surface, there exists a straight line that is entirely contained in the surface. We next study sets defined for matrix variables that satisfy rank-1 constraint together with different choices of linear side constraints. We identify different conditions on the linear side constraints, under which the convex hull of the rank-1 set is polyhedral or second-order cone representable. Finally, we present results from comprehensive set of computational experiments and show that our convexification results together with discretization significantly help in improving dual bounds for the generalized pooling problem. (This is joint work with Asteroide Santana and Burak Kocuk.)

Bio:
Santanu S. Dey is A. Russell Chandler III Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Dey's research interests are in the area of non convex optimization, and in particular mixed integer linear and nonlinear programming. His research is partly motivated by applications of non convex optimization arising in areas such as electrical power engineering, process engineering, civil engineering, logistics, and statistics. Dr. Dey has served as the vice chair for Integer Programming for INFORMS Optimization Society (2011-2013) and has served on the program committees of Mixed Integer Programming Workshop 2013 and Integer Programming and Combinatorial Optimization 2017. He currently serves on the editorial board of Computational Optimization and Applications, MOS-SIAM book series on Optimization, is an area editor for Mathematical Programming C and is an associate editor for Mathematical Programming A, Mathematics of Operations Research and SIAM Journal on Optimization.

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Workshop / Seminar Tue, 08 Oct 2019 13:07:37 -0400 2019-10-31T15:00:00-04:00 2019-10-31T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Departmental Seminar (899): Santanu Dey, Georgia Tech
IOE Lunch & Learn Seminar Series: Esmaeil Keyvanshokooh, U-M IOE (November 1, 2019 12:00pm) https://events.umich.edu/event/68543 68543-17096938@events.umich.edu Event Begins: Friday, November 1, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Wednesday, October 30, 2019.

Title:
Contextual Learning with Online Convex Optimization: Theory and Applications to Chronic Diseases

Abstract:
Chronic diseases are the leading cause of mortality and disability worldwide, requiring the surveillance and monitoring of patients to assess disease progression and determine if a treatment is warranted. Even when a suitable treatment is prescribed, dosing it correctly remains a significant challenge because proper dosage is highly volatile among patients. This involves adaptively learning a personalized disease progression control model conditional on patient-specific contextual information. We formulate this as a new contextual multi-armed bandit under a two-dimensional patient-specific control with a nested structure, which sequentially selects both treatment and corresponding dosage based on contextual information of patients, with the goal of minimizing disease progression risk. We develop contextual learning and optimization algorithms that integrate the strength of contextual bandit learning with online convex optimization. Comparing with the clairvoyant optimal policy, we prove a T-period regret, which is provably tight up to a logarithmic factor. We illustrate the effectiveness of our methodology by using case data on patients with type 2 diabetes. We believe that our contextual learning and optimization framework could be widely used in many other service systems.

Bio:
Esmaeil Keyvanshokooh is a PhD candidate in Operations Research at the Industrial and Operations Engineering department of the University of Michigan. His main research interests have broadly focused on developing efficient and effective data-driven algorithms with theoretical performance guarantees for several core problems in healthcare operations and medical decision making. Methodologically, he focuses on statistical machine learning algorithms such as contextual multi armed bandits, online convex optimization, and reinforcement learning. For applications, he focuses on online resource allocation for healthcare operations, readmission problem, managing chronic disease progression, and personalized medicine.

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Workshop / Seminar Fri, 01 Nov 2019 13:27:13 -0400 2019-11-01T12:00:00-04:00 2019-11-01T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: Esmaeil Keyvanshokooh, U-M IOE
Sanjay Govindjee: The NSF Natural Hazards Engineering Research Infrastructure (NHERI) Computation and Simulation Center (SimCenter) at Berkeley: An Overview (November 1, 2019 3:00pm) https://events.umich.edu/event/68406 68406-17077949@events.umich.edu Event Begins: Friday, November 1, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: Michigan Institute for Computational Discovery and Engineering

Abstract: In October 2016, the National Science Foundation award the NHERI SimCenter to Berkeley. The SimCenter is the computational satellite to the eight experimental sites of the NHERI constellation. Its primary goal is to advance natural hazards engineering through the use of simulation. The center develops and stands-up open-source software to simulate the effects of seismic, wind, and water loads on structures with a focus on regional assessments of damage at high resolution under uncertainty. The SimCenter’s work includes both research and educational components.

The SimCenter has just completed Year 3 or its original mandate and now offers a wide selection of user friendly front end applications that permit local as well as HPC cloud based execution of simulations. Simulations can be of single detailed structural models subjected to a variety of harzards using state-of-the-art and state-of-the-practice loading methodologies. They can also be of a larger regional nature using simpler models and further coupled to forward uncertainty propogation with Monte Carlo methods with or without surrogating. Engineering demands can be further propogated into damage and loss, downtime and recovery, using Hazus methodologies, FEMA P58 methods, or user provided techniques with our hazard-blind framework. All elements of the SimCenter’s software are desgined in a plug-n-play fashion to promote detailed research into natural hazard effects with the ability to see impacts on a larger scale.

In this presentation, I will give an overview of the SimCenter’s recent activities and discuss research needs and how researchers can participate in the SimCenter’s activities, along with a preview of upcoming developments anticipated in Year 4.

Bio: Sanjay Govindjee is the Horace, Dorothy, and Katherine Johnson Professor in Engineering. His main interests are in theoretical and computational mechanics with an emphasis on micro-mechanics of nonlinear phenomena in solid materials.

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Workshop / Seminar Tue, 15 Oct 2019 11:14:21 -0400 2019-11-01T15:00:00-04:00 2019-11-01T16:00:00-04:00 Industrial and Operations Engineering Building Michigan Institute for Computational Discovery and Engineering Workshop / Seminar S. Govindjee
Departmental Seminar (899): Nicoleta Serban, Georgia Tech (November 7, 2019 3:00pm) https://events.umich.edu/event/66425 66425-16736298@events.umich.edu Event Begins: Thursday, November 7, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Distributed Computational Methods For Healthcare Access Modeling

Abstract:
The research presented in this seminar has been motivated by one of my research programs to bring rigor in measurement of and inference on healthcare access, with a recent book to be released, titled Healthcare System Access: Measurement, Inference and Intervention. I will begin with an overview of the underlying framework to assess healthcare access with a focus on health policy making. I will use this framework to motivate the access model, a classic assignment optimization but with many important computational challenges, including spatial dependence in the outcome measures, complex system constraints, large-scale decision space among other. I will present computationally efficient methods for addressing large-scale optimization problems accounting for spatial coupling in the context of uncertainty quantification.

Bio:
Nicoleta Serban is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. Dr. Serban's education and research trajectory makes her unique in the pursuit of data-driven discovery endeavors. While trained as a mathematician at the most prestigious university in Romania, she pursued a doctoral degree in Statistics at Carnegie Mellon University. Her doctoral research focused on fundamental statistical methods with application to genomics and protein structure determination. After graduation, she changed fields to take a tenure-track position in an engineering school at Georgia Institute of Technology. While at Georgia Tech, she has been engaged in engineering-focused research spanning multiple fields, including enterprise transformation, degradation modeling and monitoring, and healthcare among others. Her research record is quite diverse, from mathematical statistics to modeling to data analysis to qualitative insights on causality and complexity. Dr. Serban’s current research emphasis is on health analytics using massive data sets to inform policy making and targeted interventions. To date, she has published more than 60 journal articles, and a collaborative (with Dr. William B. Rouse) book titled Understanding and Managing the Complexity of Healthcare published by MIT Press. She is the Editor for physical sciences, engineering, and the environment for the Annals of Applied Statistics. She has reviewed for multiple funding agencies and she has served in multiple workshops and meetings organized by the National Academy of Engineering and National Academy of Medicine.

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Workshop / Seminar Tue, 29 Oct 2019 16:43:56 -0400 2019-11-07T15:00:00-05:00 2019-11-07T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Departmental Seminar (899): Nicoleta Serban, Georgia Tech
Human Performance Seminar (836): Rosemarie Figueroa Jacinto, PhD, Explico (November 8, 2019 12:00pm) https://events.umich.edu/event/67031 67031-16796457@events.umich.edu Event Begins: Friday, November 8, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Human Performance Seminar Series (836) from the Center for Ergonomics is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title:
Scientific Application of Virtual Reality Technology to Forensic Issues

Abstract:
In forensic cases, the development of admissible and compelling visual demonstratives requires planning, state-of-the-art tools, and specialized expertise. This seminar will cover the technologies used to investigate, test, analyze, simulate, and visualize an incident. The seminar will focus on the ultimate development of interactive virtual reality (VR) courtroom demonstratives from inception to completion.

Bio:
Dr. Figueroa utilizes her multi-disciplinary expertise to assist clients in human factors, safety, and biomechanical analyses, understanding of complex scenarios and in the investigation and prevention of accidents. Dr. Figueroa has been involved in a wide range of cases involving topics such as machine guarding, fall protection, material handling, risk communication, warnings, instructions, slips, trips and falls, excavation equipment, consumer products, medical devices, maritime ports, boating and water-sports, strength capabilities, visibility and conspicuity of objects in low light and low-visibility environments, driver distraction, perceptual capabilities and limitations associated with vehicle operation, and decision and motor control response times.

Before joining Explico, Dr. Figueroa was a doctoral researcher at the University of Michigan’s Center for Ergonomics in the areas of biomechanics and physical ergonomics. Her doctoral dissertation work focused on providing new data for predicting hand strength capabilities and the development of a 3D model of the hand that can be used to enhance current ergonomic analyses. More recently, she has performed research related to driver distraction, warnings effectiveness, and visual and auditory cues in Virtual Reality.

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Workshop / Seminar Fri, 01 Nov 2019 09:36:16 -0400 2019-11-08T12:00:00-05:00 2019-11-08T12:50:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Human Performance Seminar" text
IOE Lunch & Learn Seminar Series: Minseok Ryu, U-M IOE (November 8, 2019 12:00pm) https://events.umich.edu/event/68545 68545-17096940@events.umich.edu Event Begins: Friday, November 8, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Tuesday, November 5, 2019. Space is limited to 20 participants.

Title:
Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Abstract:
We study the nurse staffing problem under random nurse demand and absenteeism. While the demand uncertainty is exogenous (stemming from the random patient census), the absenteeism uncertainty is endogenous, i.e., the number of nurses who show up for work partially depends on the nurse staffing level. For the quality of care, many hospitals have developed float pools of nurses by cross-training, so that a pool nurse can be assigned to the units short of nurses. In this paper, we propose a distributionally robust nurse staffing (DRNS) model that considers both exogenous and endogenous uncertainties. We derive a separation algorithm to solve this model under an arbitrary structure of float pools. In addition, we identify several pool structures that often arise in practice and recast the corresponding DRNS model as a monolithic mixed-integer linear program, which facilitates off-the-shelf commercial solvers. Furthermore, we optimize the float pool design to reduce the cross-training while achieving a specified target staffing costs. The numerical case studies, based on the data of a collaborating hospital, suggest that the units with high absenteeism probability should be pooled together.

Bio:
Minseok Ryu is a Ph.D. candidate in the Department of Industrial and Operations Engineering (IOE) at the University of Michigan (U-M). He obtained both bachelor's and master's degrees from Korea Advanced Institute of Science and Technology (KAIST). His research interests are in the fields of operations research and data analytics, especially methodologies for data-driven prescriptive analytics, with applications in healthcare operations and energy systems. Minseok is a Michigan Institute of Computational Discovery and Engineering (MICDE) student fellow (since 2015), and a recipient of the U-M Rackham graduate student research grant and IOE fellowship. He worked in the Los Alamos National Lab as a research intern in Summer 2019 and is the sole instructor for an undergraduate core course - IOE 310: Introduction to Optimization Methods in Fall 2019.

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Workshop / Seminar Tue, 05 Nov 2019 07:56:37 -0500 2019-11-08T12:00:00-05:00 2019-11-08T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: Minseok Ryu
*CANCELED* IOE DEI Mentoring and Well-Being Workshop (November 12, 2019 3:00pm) https://events.umich.edu/event/69063 69063-17222101@events.umich.edu Event Begins: Tuesday, November 12, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

THIS EVENT HAS BEEN POSTPONED.

This event is open to all College of Engineering faculty. Space is limited to 20 participants. Light snacks will be served.

Research has shown that graduate students struggle with mental health issues such as anxiety and depression at higher rates than the general population. While some stress and uncertainty is unavoidable in graduate training, research mentors can have a direct impact on the well-being (emotional, physical, and mental health) of members of their research group. By fostering an environment that supports well-being, mentors can positively impact mentees’ sense of autonomy, competence, personal growth, and belonging. Developing the skills to have open conversations about these topics is key to this process.

In this interactive workshop, faculty participants will engage in discussions and activities about mentee well-being using the Fostering Well-being curricula. Participants will: (1) learn the definition of mental health and identify signs of well-being; (2) develop awareness about how mentoring behaviors can impact mentee well-being; (3) identify steps to creating an environment that fosters well-being in a diverse group of mentees; and (4) learn to initiate conversations with mentees about their well-being and mental health.

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Workshop / Seminar Mon, 11 Nov 2019 09:49:01 -0500 2019-11-12T15:00:00-05:00 2019-11-12T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE DEI Mentoring and Well-Being Workshop
*CANCELED* Departmental Seminar (899): Clive D’Souza, U-M IOE (November 14, 2019 3:00pm) https://events.umich.edu/event/66537 66537-16744986@events.umich.edu Event Begins: Thursday, November 14, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

THIS EVENT HAS BEEN CANCELED.

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Workshop / Seminar Mon, 11 Nov 2019 08:37:46 -0500 2019-11-14T15:00:00-05:00 2019-11-14T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Departmental Seminar (899): Clive D’Souza, U-M IOE
Human Performance Seminar (836): Leia Stirling, PhD, U-M IOE (November 15, 2019 12:00pm) https://events.umich.edu/event/67032 67032-16796459@events.umich.edu Event Begins: Friday, November 15, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Human Performance Seminar Series (836) from the Center for Ergonomics is open to all U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title:
Considerations in Exoskeleton Human Factors

Abstract:
Exoskeletons have the potential to augment, assist, and rehabilitate motor function. To achieve these goals, the system must fit the operator statically, dynamically, and cognitively. This seminar discusses the characteristics of fit and the challenges in creating exoskeletons that support motor function in operational environments.

Bio:
Leia Stirling is an Associate Professor in Industrial and Operations Engineering at the University of Michigan. Her research quantifies human performance and human-machine fluency to assess performance augmentation, advance exoskeleton control algorithms, mitigate injury risk, and provide relevant feedback to subject matter experts across domains. She received her B.S. (2003) and M.S. (2005) in Aeronautical and Astronautical Engineering from the University of Illinois at Urbana-Champaign, and her Ph.D. (2008) in Aeronautics and Astronautics from MIT. She was a postdoctoral researcher at Boston Children’s Hospital and Harvard Medical School (2008-2009), on the Advanced Technology Team at the Wyss Institute for Biologically Inspired Engineering (2009-2012), then an Assistant Professor at MIT (2013 – 2019). She joined the faculty at the University of Michigan in 2019.

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Workshop / Seminar Thu, 07 Nov 2019 15:56:46 -0500 2019-11-15T12:00:00-05:00 2019-11-15T12:50:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Human Performance Seminar" text
IOE Lunch & Learn Seminar Series: Gian-Gabriel Garcia, U-M IOE (November 15, 2019 12:00pm) https://events.umich.edu/event/68546 68546-17096942@events.umich.edu Event Begins: Friday, November 15, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, November 14, 2019.

Title:
Predictive and Prescriptive Analytics for Concussion Management Decisions

Abstract:
Concussion, the most common type of traumatic brain injury, has been identified as a public health issue. Recent research has exposed a troubling relationship between concussion and long-term health consequences to brain health, such as cognitive impairment, depression, and neurodegenerative disease. Appropriate concussion management is thought to play a critical role in improving long and short-term health outcomes for those with concussion. Unfortunately, the diagnosis and post-injury management of concussion remains challenging for many reasons, including: the lack of a gold standard diagnostic marker, the potential for strategic symptom reporting, and the need for guidelines built on rigorous analysis of large, observational clinical datasets. In this research, we develop two frameworks to address these issues. In the first framework, we formulate the two-threshold problem (TTP) as a stochastic programming model to determine which patients should be diagnosed as positive, negative, or deferred due to a lack of conclusive evidence. We characterize the optimal solution to TTP and develop data-driven methodologies to solve and calibrate TTP. In the second framework, we formulate a multi-agent Partially Observable Markov Decision Process (mPOMDP) to model both the patient’s and doctor’s perspectives in sequential treatment decision problems. We analyze the role strategic symptom-reporting on the optimal timing of return-to-play from sports-related concussion. While classical results for POMDPs do not hold for the mPOMDP, we derive conditions which ensure that the doctor’s optimal policy follows a threshold-type structure. For both frameworks, we conduct numerical studies using multi-center data from the CARE Consortium – the largest available dataset on sports-related concussion. We show that our frameworks outperform existing methods commonly used in practice and use our findings to generate concussion clinical management insights. The models developed in this research provide technical contributions to data-driven decision-making that can be applied broadly to other areas within and beyond healthcare.

Bio:
Gian-Gabriel Garcia is a PhD Candidate in the Industrial and Operations Engineering Department at the University of Michigan. He holds a Bachelor’s degree in Industrial Engineering from the University of Pittsburgh and a Master’s degree in Industrial and Operations Engineering from the University of Michigan. In his research, Gian is interested in developing data-driven frameworks for predictive and prescriptive analytics as motivated by high-impact problems in healthcare. His current research focuses on (1) using large clinical datasets to gain patient-specific insights on disease progression and (2) combining these insights with stakeholders’ perspectives to improve diagnosis and treatment decisions. His research has been applied to concussion, glaucoma, and cardiovascular disease. It has been recognized by the National Science Foundation Graduate Research Fellowship, the INFORMS Bonder Scholarship for Applied Operations Research in Health Services, the Rackham Merit Fellowship, the SMDM Lee B. Lusted Prize in Quantitative Methods and Theoretical Developments, and first prize at the INFORMS Minority Issues Forum Poster Competition.

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Workshop / Seminar Tue, 05 Nov 2019 13:14:19 -0500 2019-11-15T12:00:00-05:00 2019-11-15T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: Gian-Gabriel Garcia, U-M IOE
Irene Beyerlein: A composite of superior properties with nanostructured composite materials (November 15, 2019 3:00pm) https://events.umich.edu/event/69187 69187-17261062@events.umich.edu Event Begins: Friday, November 15, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: Michigan Institute for Computational Discovery and Engineering

Abstract: Many future engineering systems will rely on high-performance metallic materials that are several times stronger and tougher than those in use today. In many situations, these superior properties will be desired in harsh environments, such as elevated temperatures, at high rates, and under irradiation. Nanolaminates, built from stacks of crystalline layers, each with nanoscale individual thicknesses, are proving to exhibit a composite of many of these target properties. Examples span from nanotwinned materials to biphase nanolaminates, comprised of alternating nano-thick layers that differ in orientation, chemistry and crystal structure. Studies on these materials report exceptional properties far beyond a volume average value of their constituents, such as strengths that are over five to ten times higher, hardness values that are several orders of magnitude higher, and unprecedented microstructural stability in harsh environments, such as irradiation, sudden impact, or elevated temperatures. While the combination of properties is clearly attractive, one roadblock to applying the nanolaminate concept to any general composite material system is their complex, highly anisotropic deformation behavior, making them less reliable than coarsely structured materials. Critical to designing the material nanostructure to achieve uniformity and reliability is understanding and predicting the strength properties of nanostructure materials based on known conditions and measurable variables, such as basic nanostructure size scales and chemical composition. Multiscale models for conventional coarse-grained materials have been in development for several decades, but analogous versions for nanostructured materials require extensions to explicitly account for the overriding dominance of internal boundaries on these microstructure/property relationships. The computational materials challenge lies in how to represent the discrete and statistical dislocation glide processes in nanostructured materials so that the profound influence of the fine nanoscale crystals can be properly replicated in simulation. In this talk, we will present recent examples of computational techniques and some unanticipated couplings between nanostructural size effects and microstructural evolution and strength that arise from their application.

Bio: Irene J. Beyerlein is a Professor at the University of California at Santa Barbara (UCSB) with a joint appointment in the Mechanical Engineering and Materials Departments. She currently holds the Robert Mehrabian Interdisciplinary Endowed Chair in the College of Engineering.

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Workshop / Seminar Wed, 06 Nov 2019 15:22:07 -0500 2019-11-15T15:00:00-05:00 2019-11-15T16:00:00-05:00 Industrial and Operations Engineering Building Michigan Institute for Computational Discovery and Engineering Workshop / Seminar I. Beyerlein
Human Performance Seminar (836): Don Chaffin, PhD, Nadine Sarter, PhD, U-M IOE (November 22, 2019 12:00pm) https://events.umich.edu/event/67033 67033-16796461@events.umich.edu Event Begins: Friday, November 22, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Human Performance Seminar Series (836) from the Center for Ergonomics is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title:
Back to the Future—The C4E Story

Abstract:
From 1960 to 2000, several major social and economic conditions in the US created the need and opportunity for multiple disciplines to combine in an effort to improve a variety of environments for people of all ages. This seminar will discuss how these conditions led faculty members from IOE, Environmental and Occupational Health, Statistics, Psychology, Pediatrics, Anthropology, and the Transportation Research Institute to collaborate and then form the Center for Ergonomics in 1980. Early problems addressed by these faculty members and their students led to methods and solutions related to improving: Apollo EVA/IVA tasks, Child Product Safety Requirements, OSHA Fall Protection Requirements, Occupational Weight Lifting Requirements, Aircraft Baggage Handling Limitations, Disney Resort Manual Activity Requirements, Automobile Egress and Ingress Designs, to name a few. More recently, the emphasis in workplace and product design has broadened and shifted from supporting primarily physical task requirements to addressing the perceptual and cognitive demands imposed by increasingly automated and (semi)autonomous technologies. The second part of this talk will highlight recent C4E research and accomplishments, and discuss future opportunities in the areas of human-machine teaming and human-robot interaction.

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Workshop / Seminar Tue, 12 Nov 2019 12:02:40 -0500 2019-11-22T12:00:00-05:00 2019-11-22T12:50:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Human Performance Seminar" text
IOE Lunch & Learn Seminar Series: Emily Tucker, U-M IOE (November 22, 2019 12:00pm) https://events.umich.edu/event/68548 68548-17096944@events.umich.edu Event Begins: Friday, November 22, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, November 21, 2019.

Title:
Incentivizing Supply Chain Resiliency to Prevent Drug Shortages

Abstract:
Drug shortages continue to be a public health crisis in the United States. There are hundreds of active shortages each year, and they persist for an average of fourteen months. Shortages are often caused by supply chain disruptions. In this work, I present a multi-stage stochastic program that optimizes a pharmaceutical company’s supply chain design under uncertainty in component availability. Components include suppliers of active pharmaceutical ingredients (APIs),
manufacturing plants, and lines. It is one of the first models to consider the effects of disruption and recovery over time and for facilities at multiple echelons. I introduce a replenishment rule to enforce the nonanticipativity constraints implicitly and solve a thirteen stage program. I study the effects of policies that have been proposed to reduce shortages on supply chains of example oncology drugs.

Bio:
Emily L. Tucker is a PhD Candidate in the Department of Industrial and Operations Engineering at the University of Michigan. She received her MSE in IOE from Michigan and her BS in Industrial Engineering from NC State. Prior to graduate school, she worked as a Research Health Economist for RTI International. She is a recipient of the NSF Graduate Research Fellowship and was a finalist for the 2017 Bonder Scholarship for Applied OR in Health Services. She has served as President of the Student Leadership Board in IOE and an editor of OR/MS Tomorrow, the INFORMS student magazine. Her research interests include the application of operations research to healthcare policy, operations, and supply chain resiliency.

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Workshop / Seminar Fri, 15 Nov 2019 07:58:00 -0500 2019-11-22T12:00:00-05:00 2019-11-22T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: Emily Tucker, U-M IOE
Human Performance Seminar (836): Chris Wickens, PhD, Colorado State University (December 6, 2019 12:00pm) https://events.umich.edu/event/67034 67034-16796462@events.umich.edu Event Begins: Friday, December 6, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Human Performance Seminar Series (836) from the Center for Ergonomics is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

Title:
“The Lumberjack Model of Human-Automation Interaction: The Higher the Tree, the Harder It Falls”

Abstract:
The lumberjack model proposes a relation between the degree of automation and 4 human performance measures: Performance when automation works as intended, performance when automation fails, workload, and situation awareness. The degree of automation refers jointly to what stage of human information processing automation supports: selective attention, diagnosis, decision making and action execution, and to the level of automation within a stage. Accordingly, with a higher degree of automation, routine performance is improved and workload reduced, but performance when automation fails is degraded, a degradation that is caused by a progressively greater loss of situation awareness with a higher degree of automation.

Professor Wickens will describe the results of a meta-analysis and two experiments that support, to varying degrees, the 4 trends underlying the lumberjack model. In the first experiment, participants (Wolverines!!) perform a robotics task, that is assisted by either a low or high degree of imperfect automation. In the second experiment, air traffic controllers employ an imperfect automated decision aid. The second experiment also shows how the costs of automation failure can be cushioned by building transparency into automation operations.

Bio:
Chris Wickens received his PhD in psychology from the University of Michigan in 1974, after serving 3 years in the US Navy. He was a Professor in Psychology at University of Illinois from 1974-2005. From 1984-2005 he was also jointly appointed with the Department of Industrial Engineering, and the Institute of Aviation, where he was Associate Director and Head of the Aviation Human Factors Division.

He has published two textbooks in human factors and engineering psychology, and 6 other professional books, and has co-authored over 250 articles in refereed publications or book chapters. His research interests are in the human factors of transportation systems, the study of human attention and its relevance to display design, and human-automation interaction. He is an avid mountain climber.

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Workshop / Seminar Fri, 22 Nov 2019 16:17:29 -0500 2019-12-06T12:00:00-05:00 2019-12-06T12:50:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Human Performance Seminar" text
IOE Lunch & Learn Seminar Series: Elnaz Kabir, U-M IOE (December 6, 2019 12:00pm) https://events.umich.edu/event/68549 68549-17096945@events.umich.edu Event Begins: Friday, December 6, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, December 5, 2019.

Title:
Predictive and Risk Analytics for Weather-Induced Power Outage Management

Abstract:
A wide variety of weather conditions, from windstorms to prolonged heat events, can have substantial impacts on power systems, posing many risks and inconveniences due to power outages. Being able to accurately estimate the probability distribution of the number of customers without power by using data about the power utility system, environmental and weather conditions has the potential to help utilities restore power more quickly and efficiently. In this research, we develop two frameworks to address these issues. In the first framework, we propose an adaptive two-stage algorithm based on Bayesian model averaging in order to form an ensemble model predicting daily distributions of customer outages. In this algorithm, weights of the base learners depend on the features and they get updated as new data is observed. In the second framework, we focus on the zero inflation issue of power outage data in resolutions smaller than county level. To overcome the challenges caused by zero-inflation, e.g., bias and inaccuracy, we propose a novel approach integrating mixture models with cost-sensitive learning. For both frameworks, we conduct numerical studies using large, real datasets of power outages. We show that our approaches offer more accurate point and probabilistic predictions than traditional approaches, better supporting utility restoration planning.

Bio:
Elnaz Kabir is a PhD Candidate in the Industrial and Operations Engineering Department at the University of Michigan. Her research is grounded in predictive analytics, data-driven decision making, and risk analysis. In her research, Elnaz is interested to use statistical learning theories, and optimization techniques to better understand and solve important problems related to power outages caused by weather events. The results of her studies are used by practitioners of the utility companies in order to make better decisions to reduce the risk of weather-events to the power system.

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Workshop / Seminar Mon, 02 Dec 2019 09:38:00 -0500 2019-12-06T12:00:00-05:00 2019-12-06T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Image of Elnaz kabir
Sandwiches and Science: Training (for) Better Presentations Graduate Speaker Series (December 6, 2019 12:00pm) https://events.umich.edu/event/59651 59651-17483058@events.umich.edu Event Begins: Friday, December 6, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: Tau Beta Pi

**Fall 2019 KICK-OFF WORKSHOP SEPTEMBER 23RD**

Sandwiches and Science: Training (for) Better Presentations marks the third run of the professional development event hosted by Tau Beta Pi aimed at providing Michigan Engineering graduate students the opportunity to enhance their scientific communication skills. The series will be co-hosted/sponsored by TBP and the graduate societies of MSE, ECE, ChE, and MACRO and also sponsored by the Office of Student Affairs! As "learning-by-practice" event, it aims to help students learn how to effectively convey the "big picture" value of their research to a diverse audience, while also engaging a dialog of science and engineering research among graduate students across the entire College of Engineering. The event is aimed primarily at graduate students planning to take their candidacy exam, but anyone is welcome to participate! We will host 7-10 events each term, and event dates/times will be announced on a rolling basis.

Each session is structured to have student speakers (2-3 per session) make a timed (15-20 min) presentation on their graduate research to a broad engineering audience and a communications expert panel (3-4 panelists). Our expert panelists will provide constructive feedback to the speakers (and the audience), highlighting the positive aspects of each presentation and also indicating opportunities for improvement. This structure will allow for the speakers to receive specific feedback on their communication skills, while also providing the audience with generalized guidelines for good scientific communication.

If you would like to participate as a speaker/audience, please fill out the links below. We will follow-up with you with scheduling details. NOTE: The event is open to ALL CoE students, regardless of TBP membership status.

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Workshop / Seminar Tue, 03 Dec 2019 14:20:21 -0500 2019-12-06T12:00:00-05:00 2019-12-06T13:30:00-05:00 Industrial and Operations Engineering Building Tau Beta Pi Workshop / Seminar TBP Speaker Series
*CANCELED* IOE Lunch & Learn Seminar Series: Yadrianna Acosta-Sojo, U-M IOE (December 13, 2019 12:00pm) https://events.umich.edu/event/68550 68550-17096946@events.umich.edu Event Begins: Friday, December 13, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

THIS EVENT HAS BEEN CANCELED.

Title:
Understanding age effects and adaptation of sensory and motor rehabilitation procedures for stroke patients

Abstract:
Physical rehabilitation after stroke is critical to promote recovery, improve patient’s independence, and reduce the cost of outpatient costs. However, traditional and current therapy approaches have ignored intrinsic hemispheric asymmetries and rarely differentiate the specific sensory and/or motor deficits after stroke. their precise identification is necessary to adapt rehabilitation procedures facilitating recovery and return to work. This presentation will describe recent studies to assess the functioning of the sensory and motor components of each upper limb/hemisphere system of stroke patients in order to determine the primary source of impairment.

Bio:
Yadrianna Acosta-Sojo is PhD Candidate in the Department of Industrial and Operations Engineering at the University of Michigan. Her research interests include physical ergonomics, biomechanics, sensorimotor systems, rehabilitation engineering, musculoskeletal disorders, human-automation interaction, human performance and engineering education. Her current research focuses on quantifying sensory and/or motor differences in the upper extremity following a hemispheric stroke to develop and adapt rehabilitation procedures to facilitate/accelerate recovery.

Yadrianna received her M.S.E. in Industrial and Operations Engineering from the University of Michigan. She has a B.S. in Industrial Engineering from the University of Puerto Rico, Mayagüez Campus. She is the recipient of the National Science Foundation Graduate Student Research Fellowship.

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Workshop / Seminar Mon, 09 Dec 2019 10:35:54 -0500 2019-12-13T12:00:00-05:00 2019-12-13T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar IOE Lunch & Learn Seminar Series: Yadrianna Acosta-Sojo, U-M IOE
Guest Seminar: Ritu Raman, Ph.D., MIT (January 7, 2020 9:00am) https://events.umich.edu/event/70692 70692-17619578@events.umich.edu Event Begins: Tuesday, January 7, 2020 9:00am
Location: Industrial and Operations Engineering Building
Organized By: Biomedical Engineering

Biological materials dynamically sense and adapt their form and function to changing environments, but these capabilities have not been fully replicated in the synthetic materials traditionally used by engineers. My research has shown that integrating biohybrid and biomimetic materials with engineered systems yields devices capable of complex behaviors such as self-assembly, self-maintenance, and self-healing. These responsive behaviors are especially desirable in machines that interface with the dynamic human body, as they enable sensing and responding to individualized patient needs. This talk will cover my fundamental research in the field of biohybrid design, including: 1) Forward engineering of skeletal muscle bioactuators for adaptive biohybrid machines; 2) Design and implementation of smart responsive materials in implantable devices; 3) Micro-invasive tools for understanding cell-cell communication in complex 3D networks. These advances will enable my future lab to develop neuromuscular bioactuators for restoring motility in diseased or damaged bodily systems and actuating implantable devices. This talk will make the case that the next generation of biologically relevant machines must integrate our dynamic natural world with our own adaptive bodies.

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Workshop / Seminar Fri, 20 Dec 2019 13:41:59 -0500 2020-01-07T09:00:00-05:00 2020-01-07T10:00:00-05:00 Industrial and Operations Engineering Building Biomedical Engineering Workshop / Seminar U-M BME Event
DEI Mentoring and Well-Being Workshop (January 9, 2020 3:00pm) https://events.umich.edu/event/70193 70193-17547061@events.umich.edu Event Begins: Thursday, January 9, 2020 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all University of Michigan faculty. Space is limited to 20 participants. Light snacks will be served.

Research has shown that graduate students struggle with mental health issues such as anxiety and depression at higher rates than the general population. While some stress and uncertainty is unavoidable in graduate training, research mentors can have a direct impact on the well-being (emotional, physical, and mental health) of members of their research group. By fostering an environment that supports well being, mentors can positively impact mentees’ sense of autonomy, competence, personal growth, and belonging. Developing the skills to have open conversations about these topics is key to this process.

In this interactive workshop, faculty participants will engage in discussions and activities about mentee well-being using the Fostering Well-being curricula. Participants will: (1) learn the definition of mental health and identify signs of well being; (2) develop awareness about how mentoring behaviors can impact mentee well-being; (3) identify steps to creating an environment that fosters well-being in a diverse group of mentees; and (4) learn to initiate conversations with mentees about their well-being and mental health.

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Workshop / Seminar Mon, 16 Dec 2019 08:03:29 -0500 2020-01-09T15:00:00-05:00 2020-01-09T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "IOE DEI Mentoring and Well-Being Workshop" text
IOE Lunch & Learn Seminar Series: Niusha Navidi, U-M IOE (January 17, 2020 12:00pm) https://events.umich.edu/event/68552 68552-17096948@events.umich.edu Event Begins: Friday, January 17, 2020 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, January 16, 2020.

Title:
Adaptive Submodular Ranking and Routing

Abstract:
We study a general stochastic ranking problem where an algorithm needs to adaptively select a sequence of elements so as to “cover” a random scenario (drawn from a known distribution) at minimum expected cost. The coverage of each scenario is captured by an individual submodular function, where the scenario is said to be covered when its function value goes above a given threshold. We obtain a logarithmic factor approximation algorithm for this adaptive ranking problem, which is the best possible (unless P = NP). This problem unifies and generalizes many previously studied problems with applications in search ranking and active learning. The approximation ratio of our algorithm either matches or improves the best result known in each of these special cases. Furthermore, we extend our results to an adaptive vehicle routing problem, where costs are determined by an underlying metric. This routing problem is a significant generalization of the previously-studied adaptive traveling salesman and traveling repairman problems. Our approximation ratio nearly matches the best bound known for these special cases. Finally, we present experimental results for some applications of adaptive ranking.

Bio:
Fatemeh Navidi is a fifth year PhD student in the Department of Industrial and Operations Engineering at the University of Michigan, advised by Professor Viswanath Nagarajan. Her research interests include Combinatorial Optimization Under Uncertainty, Design and Analysis of Adaptive Approximation Algorithms and Machine Learning.

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Workshop / Seminar Mon, 13 Jan 2020 13:54:18 -0500 2020-01-17T12:00:00-05:00 2020-01-17T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar photo of Niusha Navidi
IOE Lunch & Learn Seminar Series: Geunyeong Byeon, U-M IOE (January 24, 2020 12:00pm) https://events.umich.edu/event/68553 68553-17096950@events.umich.edu Event Begins: Friday, January 24, 2020 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, January 23, 2020.

Title:
Gas-Aware Unit Commitment

Abstract:
The work aims at synchronizing the electricity and gas networks to avoid potential catastrophic failures during Polar vortex events. Recent changes in the fuel mix for electricity generation and, in particular, the increase in Gas-Fueled Power Plants (GFPP), have created significant interdependencies between the electric power and natural gas transmission systems. However, despite their physical and economic couplings, these networks are still operated independently, with asynchronous market mechanisms. This mode of operation may lead to significant economic and reliability risks in congested environments as revealed by the 2014 polar vortex event experienced by the northeastern United States; The scarcity of natural gas put the reliability of the electricity system at high risk and agitated its market. To mitigate these risks, while preserving the current structure of the markets, we explore the idea of introducing gas network awareness into the standard unit commitment model and propose a bilevel optimization problem. We developed a novel Benders subproblem decomposition technique that addresses the computational challenge in solving the bilevel problem. The model and the solution approach are validated on a case study for the Northeastern United States that can reproduce the gas and electricity price spikes experienced during the early winter of 2014. The results on the case study show that gas awareness in unit commitment is instrumental in avoiding the peaks in electricity prices while keeping the gas prices to reasonable levels and demonstrate that the developed solution method outperforms up-to-date commercial solvers and standard Benders method. This is based on a joint work with Dr. Pascal Van Hentenryck.

Bio:
Geunyeong Byeon is a PhD candidate in the Department of Industrial and Operations Engineering (IOE) at the University of Michigan (U-M) where she is advised by Dr. Pascal Van Hentenryck. She received her undergraduate degree in Industrial and Management Engineering from Korea University and obtained an M.S. degree in Industrial Engineering from Seoul National University. Her research interests are in the fields of operations research and data analytics, especially methodologies for large-scale optimization. She is particularly interested in applications in energy systems. She worked in the Los Alamos National Laboratory as a research intern in Summer 2019. She is a recipient of a Rackham Graduate Student Research Grant and MICDE (Michigan Institute of Computational Discovery and Engineering) Fellowship.

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Workshop / Seminar Wed, 15 Jan 2020 10:10:54 -0500 2020-01-24T12:00:00-05:00 2020-01-24T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Photo of Geunyeong Byeon
Marvell Info Session, hosted by TBP (January 27, 2020 5:30pm) https://events.umich.edu/event/71522 71522-17836336@events.umich.edu Event Begins: Monday, January 27, 2020 5:30pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Career Resource Center

At Marvell, we develop and deliver semiconductor solutions that process, move, store and secure the world's data faster and more reliably than anyone else. Marvell's expertise in microprocessor architecture and world class engineering allow for the design and deployment of products that are powering infrastructure across 5G, the Cloud, Enterprise, AI and Automotive. Marvell is excitedly looking for talent to join our worldwide team of 6,000 strong, innovating since 1995.

Food will be provided by Cottage Inn Pizza.

-Majors Recruited: CE, EE
-Degrees Levels Recruited: Bachelors, Masters, PhD
-Positions available: Full Time, Internship
-Will the company be collecting resumes at this event?: Yes
-Is the company willing to sponsor students for work authorization?: Yes

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Careers / Jobs Wed, 15 Jan 2020 15:42:52 -0500 2020-01-27T17:30:00-05:00 2020-01-27T18:30:00-05:00 Industrial and Operations Engineering Building Engineering Career Resource Center Careers / Jobs Industrial and Operations Engineering Building
IOE Lunch & Learn Seminar Series: Mark Daskin and Jon Lee, U-M IOE (January 31, 2020 12:00pm) https://events.umich.edu/event/71482 71482-17834194@events.umich.edu Event Begins: Friday, January 31, 2020 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, January 30, 2020.

Title:
Publishing 101

Abstract:
Publishing is at the heart of the advancement of scientific and engineering knowledge. It also plays a critical role in the lives of academics – students and faculty alike. For example, it plays a pivotal role in promotion and tenure decisions and also impacts student completion times and, in some cases, admission decisions.

In this seminar we will focus on several topics, including:
How to pick a journal for your work
How the review process works
The responsibilities of different roles (e.g. EiC, Department Editor, Associate Editor, Reviewers)
Advice on responding to reviewers

Bio:
Jon Lee is the G. Lawton and Louise G. Johnson Professor of Engineering and a Professor of Industrial and Operations Engineering at UM. He was the founding Managing Editor of the journal Discrete Optimization. Jon was Chair of the INFORMS Optimization Society for 2010-2012, he was awarded the ICS (INFORMS Computing Society) Prize in 2010, and he was elected as a Fellow of INFORMS in 2013. Jon is currently Editor-in-Chief of the journal Mathematical Programming (Series A), Editorial Board Member of the journal Optimization and Engineering, and Editorial Board Member of the journal Discrete Applied Mathematics.

Mark S. Daskin is the immediate past Department Chair of the Industrial and Operations Engineering Department at the University of Michigan. He holds the Clyde W. Johnson Collegiate Professorship. Prior to joining the faculty at Michigan in 2010, Daskin was on the faculty at Northwestern University (for 30 years) and the University of Texas (for a year and a half). He is the author of over 80 refereed papers and of two books: Network and Discrete Location: Models, Algorithms and Applications (John Wiley, 1995; second edition, 2013) and Service Science (John Wiley, 2010. He is a past editor-in-chief of both IIE Transaction and Transportation Science. He served as the chair of the Department of Industrial Engineering and Management Sciences at Northwestern University from 1995-2001.

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Workshop / Seminar Wed, 15 Jan 2020 10:36:32 -0500 2020-01-31T12:00:00-05:00 2020-01-31T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Mark Daskin and Jon Lee
Nexient Info Session, hosted by SWE (February 5, 2020 6:00pm) https://events.umich.edu/event/71315 71315-17817074@events.umich.edu Event Begins: Wednesday, February 5, 2020 6:00pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Career Resource Center

Traditional Company Presentation

-Majors Recruited: Computer Engineering, Computer Science, All Majors welcome, roles are specifically related to software development
-Degrees Levels Recruited: Bachelors, Masters
-Positions available: Full Time
-Will the company be collecting resumes at this event?: Yes
-Is the company willing to sponsor students for work authorization?: No

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Careers / Jobs Mon, 13 Jan 2020 07:47:12 -0500 2020-02-05T18:00:00-05:00 2020-02-05T19:30:00-05:00 Industrial and Operations Engineering Building Engineering Career Resource Center Careers / Jobs Industrial and Operations Engineering Building
IOE Lunch & Learn Seminar Series: Margret Bjarndóttir, University of Maryland (February 14, 2020 12:00pm) https://events.umich.edu/event/72197 72197-17955070@events.umich.edu Event Begins: Friday, February 14, 2020 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE PhD students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, February 13, 2020.

Title:
People Analytics & Closing the Gender Pay Gap

Abstract:
In this talk we briefly introduce the fast growing field of people analytics before turning our attention to demographic pay gaps. The gender pay gap is receiving increasing internal attention across organizations. However, managers tasked with addressing this gap (or any demographic gap, for that matter) have limited quantitative tools available to help them. Even if it were possible for them to analyze the gap, they would still need to determine what salary adjustments to make and for which employees in order to create a more equitable pay structure. We address this deficit in tools and knowledge by developing a methodological solution that analyzes the company's pay gap and suggests salary adjustments in order to close it. To create this solution, we introduce a fairness driven optimization formulation that can account for multiple operational constraints. As a side step we show the unintended consequences of applying a cost minimization to this challenge, which can leave organizations in worse off. Finally, we answer the question of how to determine whether the gap is closed, applying equivalence testing in this new context.

Bio:
Dr. Bjarndóttir is an Assistant Professor of Management Science and Statistics at Robert H. Smith School of Business. Dr. Bjarnadóttir’s research focuses on data-driven decision-making, combining traditional operations research approaches with data analytics and machine learning. In addition to the main focus of her work, which is health care, she has applied analytical models to contexts in finance and sports and, most recently, to people analytics, where her work has been covered by outlets such as HBR, Forbes, BBC, HR magazine and others. She teaches quantitative modeling and data analytics at the graduate level both in the traditional classroom format as well as online, and has received multiple awards including the Krowe Teaching Award. Her work has been published in Operations Research, POM and Org Science. Dr. Bjarnadóttir holds a B.Sc. degree in Mechanical and Industrial Engineering from the University of Iceland (2001) and a Ph.D. in Operations Research from Massachusetts Institute of Technology (2008).

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Workshop / Seminar Wed, 29 Jan 2020 15:59:10 -0500 2020-02-14T12:00:00-05:00 2020-02-14T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Margret Bjarndóttir
FE Exam Overview and Student Forum (February 20, 2020 7:00pm) https://events.umich.edu/event/72852 72852-18085924@events.umich.edu Event Begins: Thursday, February 20, 2020 7:00pm
Location: Industrial and Operations Engineering Building
Organized By: Civil and Environmental Engineering

Chi Epsilon presents Fundamentals of Engineering (FE) Exam Overview and Student Forum. This event will give you insight to the exam, available preparation materials, and you will have an opportunity to discuss the exam with graduate students who recently passed the exam.

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Lecture / Discussion Thu, 13 Feb 2020 11:30:54 -0500 2020-02-20T19:00:00-05:00 2020-02-20T20:00:00-05:00 Industrial and Operations Engineering Building Civil and Environmental Engineering Lecture / Discussion I took this photo in a private school in Italy (Bologna) and I found beautiful these two girls studying together.
IOE Lunch & Learn Seminar Series: Dean Hully, Llamasoft (February 21, 2020 12:00pm) https://events.umich.edu/event/72307 72307-17972529@events.umich.edu Event Begins: Friday, February 21, 2020 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE students, faculty, and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by Thursday, February 20, 2020.

Title:
Business at Llamasoft

Abstract:
Dean will talk about the challenges companies face in optimizing their operations, LLamasoft's business model, career opportunities at LLamasoft, and the challenges faced by both LLamasoft and the companies we work with in this fast changing world.

Bio:
Dean Hully has been part of LLamasoft for the last 12 years. Most of his career has been toiling in the software development mines but for the last two years he has led the LLamasoft Applied Research group. LLamasoft (and, of course, the AR group) build software and algorithms to solve business problems. Traditionally focused on optimization techniques, they also use simulation and have been evolving their data science expertise. They solve network design, routing, inventory, and demand forecasting problems.

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Workshop / Seminar Mon, 03 Feb 2020 08:21:33 -0500 2020-02-21T12:00:00-05:00 2020-02-21T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Dean Hully
PhD Defense: Miao Yu (February 24, 2020 9:30am) https://events.umich.edu/event/71668 71668-17853468@events.umich.edu Event Begins: Monday, February 24, 2020 9:30am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

TITLE OF DISSERTATION: Optimization Approaches for Mobility and Service Sharing

CO-CHAIRS: Siqian Shen and Viswanath Nagarajan

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Workshop / Seminar Wed, 12 Feb 2020 15:55:08 -0500 2020-02-24T09:30:00-05:00 2020-02-24T11:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Miao Yu
PhD Defense: Minseok Ryu (February 25, 2020 2:00pm) https://events.umich.edu/event/71641 71641-17851290@events.umich.edu Event Begins: Tuesday, February 25, 2020 2:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

TITLE OF DISSERTATION: Addressing Nonlinearity and Uncertainty via Mixed Integer Programming Approaches

CHAIR: Ruiwei Jiang

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Workshop / Seminar Fri, 17 Jan 2020 11:29:24 -0500 2020-02-25T14:00:00-05:00 2020-02-25T16:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Minseok Ryu
*CANCELED* Departmental Seminar (899): Ramamoorthi Ravi, Carnegie Mellon University (February 27, 2020 3:00pm) https://events.umich.edu/event/72001 72001-17914110@events.umich.edu Event Begins: Thursday, February 27, 2020 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

THIS EVENT HAS BEEN CANCELED.
SEE LINK ABOVE FOR REPLACEMENT EVENT.

Title:
Models and Methods for Omni-channel Fulfillment

Abstract:
Omni-channel retailing, the combination of online and traditional store channels, has led to the use of traditional stores as fulfillment centers for online orders. A key aspect of omni-channel fulfillment problems is the trade-off between cancellations of accepted online orders and profits; a riskier fulfillment policy may result in more online sales but also more cancelled orders.

In this talk, I will describe a stochastic model of the process leading to order cancellations for a single item so that retailers may find fulfillment policies that effectively use this information along with shipping costs between various locations. We describe iterative algorithms based on Infinitesimal Perturbation Analysis (IPA) that converge to optimal and locally optimal policies within certain flexible policy classes for the multiple-location version of this model, and show their empirical performance on simulations based on real data from a high-end North American retailer.

Time permitting, I will describe a related problem of maximizing revenues subject to a constraint on cancellations across a large portfolio of items and an approach to solving it. This talk is based on the dissertation of Jeremy Karp at CMU describing work carried out jointly with Prof. Sridhar Tayur (CMU) and Dr. Srinath Sridhar (Onera Inc).

Bio:
Dr. R. Ravi is Andris A. Zoltners Professor of Business, and Professor of Operations Research and Computer Science at Carnegie Mellon University.

Ravi received his bachelor's degree from IIT, Madras, and Master's and doctoral degrees from Brown University, all in Computer Science.

Ravi's research focuses on models, methods and applications of discrete optimization, and their applications in the intersection of business and technology. He served as area editor for "Operations Research" in charge of the discrete optimization area between 2012-2017. He has formerly served as associate editor in the ACM Transactions on Algorithms, Management Science, Networks and Journal of Algorithms. He has also served on several international program committees including as the program chair for the 2008 IEEE Foundations of Computer Science (FOCS) conference. Ravi has co-authored two books, over 130 publications, and has a h-index of over 50. His research has been supported by the U.S. National Science Foundation, Office of Naval Research, Microsoft, Yahoo and Google; He has so far supervised 18 doctoral theses and developed over half a dozen new graduate classes.

Ravi has been at the Tepper School of Business since 1995 where he served as the Associate Dean for Intellectual Strategy from 2005-2008. He was Chair of the Future Educational Delivery Committee that launched the online hybrid Tepper MBA in 2013. He was elected a Fellow of the INFORMS in 2017.

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Workshop / Seminar Mon, 24 Feb 2020 12:03:22 -0500 2020-02-27T15:00:00-05:00 2020-02-27T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Ramamoorthi Ravi
Departmental Seminar (899): Jon Lee, University of Michigan (February 27, 2020 3:00pm) https://events.umich.edu/event/73226 73226-18179646@events.umich.edu Event Begins: Thursday, February 27, 2020 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Sparse Generalized Inverses

Abstract:
Generalized inverses are ubiquitous in matrix algebra and its applications, in particular in statistics. The most commonly-used generalized inverse is the well-known and celebrated Moore-Penrose pseudo-inverse. But not all Moore-Penrose properties are needed to ensure that a generalized inverse solves key problems, like least squares. So there is the opportunity to find sparser generalized inverses that do the jobs. The usual approach of exact 1-norm minimization to induce sparsity has flaws here, so we will look at an alternative approach overcoming the flaws. I will present theoretical and computational results on this, in particular approximation algorithms with nice properties. Based on joint works with: Marcia Fampa (Universidade Federal do Rio de Janeiro), Luze Xu (UM), and Gabriel Ponte (Universidade Federal do Rio de Janeiro).

Bio:
Jon’s research focus is on nonlinear discrete optimization (NDO). Many practical engineering problems have physical aspects which are naturally modeled through smooth nonlinear functions, as well as design aspects which are often modeled with discrete variables. Research in NDO seeks to marry diverse techniques from classical areas of optimization, for example methods for smooth nonlinear optimization and methods for integer linear programming, with the idea of successfully attacking natural NDO models for practical engineering problems.

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Workshop / Seminar Mon, 24 Feb 2020 11:57:02 -0500 2020-02-27T15:00:00-05:00 2020-02-27T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Jon Lee
BME 500: Ruobo Zhou (March 5, 2020 4:00pm) https://events.umich.edu/event/73399 73399-18214945@events.umich.edu Event Begins: Thursday, March 5, 2020 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: Biomedical Engineering

Biomolecular interactions are at the root of all biological processes and define the molecular mechanisms of how these processes are accomplished in both physiological and pathological conditions. Recent advances in single molecule detection and super-resolution fluorescence microcopy have uncovered previously unknown properties of biomolecular interactions, including multivalency, transiency, and heterogeneity, and revealed the organizational principles governing the compartmentalization of functional biomolecular interactions in cells and how such compartmentalization and organizations become dysregulated in diseases. In this talk, I will first discuss my postdoctoral work, where I used mass-spectrometry-based analysis and super-resolution imaging to dissect the protein-protein interactions at the plasma membrane of neurons, and discovered that a newly identified membrane-associated periodic skeleton (MPS) structure can function as a signaling platform that coordinates the interactions of signaling proteins at the plasma membrane of neurons. In response to extracellular stimuli, G-protein coupled receptors, cell-adhesion molecules, receptor tyrosine kinases can be recruited to the MPS to form signaling complexes at the plasma membrane, and such recruitment is required for downstream intracellular signaling. This work not only reveals an important, previously unknown function of the newly discovered MPS structure, but also provides novel mechanistic insights into signal transduction in neurons. I will then discuss my graduate work, where I developed a hybrid single molecule technique combining single molecule FRET and optical tweezers, and applied this technique to probe the sub-molecular dynamics of protein-DNA interactions in various biological systems involved in DNA replication, repair and recombination.

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Lecture / Discussion Fri, 28 Feb 2020 11:07:38 -0500 2020-03-05T16:00:00-05:00 2020-03-05T17:00:00-05:00 Industrial and Operations Engineering Building Biomedical Engineering Lecture / Discussion BME Logo
PhD Defense: Geunyeong Byeon (March 12, 2020 11:00am) https://events.umich.edu/event/72191 72191-17955064@events.umich.edu Event Begins: Thursday, March 12, 2020 11:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

TITLE OF DISSERTATION: Large-scale optimization for interdependent infrastructure systems

CO-CHAIRS: Pascal Van Hentenryck & Jon Lee

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Workshop / Seminar Wed, 29 Jan 2020 09:08:42 -0500 2020-03-12T11:00:00-04:00 2020-03-12T13:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Guenyeong Byeon
Departmental Seminar (899): Joseph B. Lyons, United States Air Force Academy (March 12, 2020 3:00pm) https://events.umich.edu/event/72002 72002-17914113@events.umich.edu Event Begins: Thursday, March 12, 2020 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
Trust Considerations of Advanced Technology

Abstract:
This talk will dig into issues of trust and transparency as they relate to intelligent machines. The construct of trust will be defined, and prior research involving trust and transparency will be explored. As machines gain capabilities and authorization to act on behalf of humans, humans will begin to attribute greater intentionality to their actions - but what impact does this have on human attitudes toward intelligent machines? This talk will explore the dimensions of human-autonomy teaming and will discuss the need for transparency of intent.

Bio:
Joseph B. Lyons is the Lead for the Collaborative Interfaces and Teaming Core Research Area within the 711 Human Performance Wing at Wright-Patterson AFB, OH. Dr. Lyons received his PhD in Industrial/Organizational Psychology from Wright State University in Dayton, OH, in 2005. Some of Dr. Lyons’ research interests include human-machine trust, interpersonal trust, human factors, and influence. Dr. Lyons has worked for the Air Force Research Laboratory as a civilian researcher since 2005, and between 2011-2013 he served as the Program Officer at the Air Force Office of Scientific Research where he created a basic research portfolio to study both interpersonal and human-machine trust as well as social influence. Dr. Lyons has published in a variety of peer-reviewed journals, and is an Associate Editor for the journal Military Psychology. Dr. Lyons is a Fellow of the American Psychological Association and the Society for Military Psychologists.

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Workshop / Seminar Mon, 17 Feb 2020 14:30:33 -0500 2020-03-12T15:00:00-04:00 2020-03-12T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Departmental Seminar (899)
*CANCELED* Departmental Seminar (899): Kayse Maass, Northeastern University (March 19, 2020 3:00pm) https://events.umich.edu/event/72005 72005-17914114@events.umich.edu Event Begins: Thursday, March 19, 2020 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

THIS EVENT HAS BEEN CANCELED.

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4 p.m. to 5 p.m.

Title:
An Industrial and Operations Engineering Approach to Disrupting Human Trafficking

Abstract:
Human trafficking is a prevalent and malicious global human rights issue, with an estimated 24 million victims currently being exploited worldwide. A major challenge to its disruption is the fact that human trafficking is a complex system interwoven with other illegal and legal networks, both cyber and physical. Efforts to disrupt human trafficking must understand these complexities and the ways in which a disruption to one portion of the network affects other network components. As such, industrial and systems engineering models are uniquely positioned to address the challenges facing anti-human trafficking efforts. This presentation will discuss ongoing interdisciplinary anti-human trafficking efforts focusing on prevention, network disruption, and survivor empowerment. Specifically, we will discuss 1) the adaptions to current network interdiction models that are necessary for adequately representing human trafficking contexts and 2) a budget-constrained optimization model that maximizes the societal value of locating additional shelters for human trafficking survivors.

Bio:
Kayse Lee Maass is an Assistant Professor in the Department of Mechanical and Industrial Engineering and leads the Operations Research and Social Justice lab at Northeastern University. She also currently holds a research appointment with the Information and Decision Engineering Program at Mayo Clinic and is the co-founder of the Trafficking Research for Action Collaborative. Dr. Maass’s research focuses on the application of operations research methodology to social justice, access, and equity issues within human trafficking, mental health, housing, and supply chain contexts. Her work is supported by multiple National Science Foundation grants, centers interdisciplinary survivor-informed expertise, and has been used to inform policy and operational decisions at the local, national, and international levels.

Dr. Maass earned a PhD in Industrial and Operations Engineering (IOE) from the University of Michigan and completed her postdoctoral studies in the Department of Health Sciences Research at the Mayo Clinic. She is a recipient of multiple awards, including: the INFORMS Judith Liebman Award, NSF Graduate Research Fellowship Program Award, and the INFORMS Section on Location Analysis Dissertation Award-Runner Up. She was also named a ‘Rising Star’ among INFORMS’ Powerful, Pragmatic Pioneers. Dr. Maass currently serves on the INFORMS Subdivision Council, as INFORMS Section on Location Analysis Secretary, and is a member of the H.E.A.L. Trafficking Research Committee.

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Workshop / Seminar Fri, 13 Mar 2020 14:02:09 -0400 2020-03-19T15:00:00-04:00 2020-03-19T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Canceled" text
*CANCELED* IOE Lunch & Learn Seminar Series: Celine Chen, Shenzhen University (March 20, 2020 12:00pm) https://events.umich.edu/event/73709 73709-18302645@events.umich.edu Event Begins: Friday, March 20, 2020 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

THIS EVENT HAS BEEN CANCELED.


Title:
Incentivizing User Engagement in User-Generated Content (UGC) Communities: Evidence from Field Studies

Abstract:
For many Internet consumers, User-Generated Content (UGC) has replaced traditional media outlets and become the preferred channel for information acquisition, entertainment and motivation of online expenditures. Maintaining users' loyalty and motivating them to be actively involved in monetization activities are some of the most critical challenges for UGC platforms' sustainable development. To deal with these challenges, our research aims to investigate user engagement behaviors and the underlying mechanisms behind these behaviors in two different contexts, an asynchronous UGC platform and a synchronous live streaming service. By collaborating with a large online community (Qiubai) and a popular live streaming platform (Remix) in China, we combine a unique panel data analysis method on detailed user-level activity data with large-scale field experiments. Specifically, we investigate the possibility of using nudges and digital badges to encourage user engagement in UGC platforms by examining the impact of extrinsic factors of UI on user behaviors. We capture and simulate the dynamics of user engagement state using a Hidden Markov model and Monte Carlo Layered Bayesian model and fit the data of users' engagement behavior under the social network structure using the Fixed Effect Poisson model. In our live streaming context, we use variance analysis and linear panel data regression methods to analyze users' paying (tipping) behavior through manipulating audience size, tipping amount and develop a panel vector autoregression (PVAR) model to examine the role of emotion in interactive and dynamic social settings. Our findings can help UGC communities better understand user engagement behaviors, and thus provide theoretical and managerial implications for effective UGC marketing strategies to enhance users' loyalty and stimulate their active online engagement.

Bio:
Dr. Xingyu (Celine) Chen received her Ph.D. degree in Systems and Engineering Management from Nanyang Technological University, Singapore, in 2013. She is currently an associate professor and deputy head of the Department of Marketing, College of Management, at Shenzhen University, China. Dr. Chen’s research has focused on online user behavior and social media marketing strategy. She has been publishing in a number of prestigious journals in her field, including the Journal of the Academy of Marketing Science, International Journal of Advanced Manufacturing and Technology, Behavior and Information Technology, and Ivey Business Cases. Dr. Chen has received the University Outstanding Young Scientist Award in 2018, College Best Teacher Award and MBA Best Teaching Award in 2016-2019. Her research has been funded by the Ministry of Education of China, National Natural Science Foundation of China and Natural Science Foundation of Guangdong Province. Before joining academia, she also worked as senior product manager at leading Internet firms, ProperGuru and Mozat, in Singapore.

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Workshop / Seminar Tue, 17 Mar 2020 13:59:16 -0400 2020-03-20T12:00:00-04:00 2020-03-20T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Canceled" text
*CANCELED* Faculty Lunch Workshop Seminar: Cultivating Student-Faculty Relationships through Mentoring (April 24, 2020 11:30am) https://events.umich.edu/event/73712 73712-18302649@events.umich.edu Event Begins: Friday, April 24, 2020 11:30am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Are you a U-M College of Engineering faculty or staff member?
Want to learn about some best practices for engaging students through mentoring?
Want to learn more about our engineering undergraduate students and their needs?
Want to enjoy a delicious Zingerman’s Deli lunch while having a thoughtful discussion with your colleagues?
IF YES, THEN THIS SEMINAR IS FOR YOU!

In this seminar, attendees will learn about how to develop and cultivate mentoring relationships with engineering undergraduates. Specifically, faculty members, Joi Mondisa (IOE) and Chinedum Okuwdire (ME) will discuss how they developed and are implementing discipline-based engineering student-faculty mentoring programs in their respective departments. These programs were initiated to address the needs of students, specifically minoritized populations (i.e., African American, Hispanic/Latinx, American Indian/Alaska Natives). The workshop will feature details about: the development of discipline-based engineering student-faculty mentoring programs, participants’ program experiences, and mentoring elements and findings developed from the research project that might apply broadly to others groups.

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Workshop / Seminar Thu, 19 Mar 2020 10:56:29 -0400 2020-04-24T11:30:00-04:00 2020-04-24T13:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar "Canceled" text
*POSTPONED* Walton M. Hancock Legacy Reception (May 8, 2020 12:00pm) https://events.umich.edu/event/73722 73722-18304822@events.umich.edu Event Begins: Friday, May 8, 2020 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

THIS EVENT HAS BEEN POSTPONED UNTIL FURTHER NOTICE.

Please join the U-M IOE community for a very special event to honor the legacy of Walton M. Hancock.

Walt was a faculty member since 1959, serving as department chair, and continuing on as a professor emeritus through his retirement. He played a major role in establishing the department’s foothold in manufacturing, healthcare delivery systems, and worker safety, among others.

His pioneering work helped guide the Department of Industrial and Operations Engineering and lay the foundation for our current mission and vision for education and research.

Attendees will have the opportunity to meet with Walt’s family and friends, IOE alums, faculty and students, and learn about some of the most recent activities in the department stemming from Walt’s legacy.

We hope to see you in May. Should you have any questions, please reach out to ioe.events@umich.edu.

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Reception / Open House Thu, 26 Mar 2020 15:02:35 -0400 2020-05-08T12:00:00-04:00 2020-05-08T15:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Reception / Open House "Postponed" text