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U-M Industrial & Operations Engineering pres.

IOE Lunch & Learn Seminar Series: Siqian Shen, U-M IOE

A Summary of Operations Research and Industrial Engineering Tools for Fighting COVID-19

Siqian Shen Siqian Shen
Siqian Shen
This event is open to all, IOE undergraduate students and undeclared U-M engineering students are especially encouraged to attend.

Title:
A Summary of Operations Research and Industrial Engineering Tools for Fighting COVID-19

Abstract:
Operations Research (OR) and Industrial Engineering (IE) approaches are widely used in industry and play important roles in improving the design and operations of many standard corporate activities such as supply chain management, job/staff scheduling, healthcare, mobility and transportation systems, energy systems, facility location, and resource allocation. In the midst of the COVID-19 pandemic, policymakers, companies, community workers and individual households have been designing new systems and procedures to fight the virus. Many problems related to optimizing these systems and their operations can be tackled by extending the traditional OR and IE approaches with new objectives, constraints, and input data. The purpose of this talk is to summarize potential scenarios one may encounter during the prevention, disease control, intervention and recovery phases during COVID-19 outbreaks, and point out the OR and IE models that can be applied for solving the related problems. Using these techniques, policymakers can better prepare for rare but catastrophic events such as the COVID-19 pandemic, can better inform the public to perform “social distancing”, can better utilize resources and ensure medical supplies during the outbreak, and can improve the quality of life and work to mitigate economic losses. This talk is based on a recent article: http://www-personal.umich.edu/~siqian/docs/or-ie-fighting-covid19_v1.pdf

Bio:
Siqian Shen is an Associate Professor of Industrial and Operations Engineering at the University of Michigan and also serves as an Associate Director in the Michigan Institute for Computational Discovery & Engineering (MICDE). She obtained a B.S. degree from Tsinghua University in 2007 and Ph.D. from the University of Florida in 2011. Her theoretical research interests are in integer programming, stochastic/robust optimization, and network optimization. Applications include optimization and risk analysis of energy, healthcare, cloud computing, and transportation systems. She is a recipient of the IIE Pritsker Doctoral Dissertation Award (1st Place), INFORMS IBM Smarter Planet Innovation Faculty Award, and Department of Energy (DoE) Early Career Award. Prof. Shen serves in the editorial board of journals like IISE Transactions, Networks, Service Science, INFORMS Journal on Computing. Her research has been supported by the National Science Foundation, Army Research Office, Department of Energy, Department of Transportation, Ford Motor Company and DiDi ChuXing.

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Siqian Shen Siqian Shen
Siqian Shen
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