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DTSTAMP:20250404T120133
DTSTART;TZID=America/Detroit:20250403T150000
DTEND;TZID=America/Detroit:20250403T160000
SUMMARY:Social / Informal Gathering:ClariTEA: Informal Advising Event
DESCRIPTION:ClariTEA is a weekly informal\, drop-in advising event where Robotics and Interested Undergraduate students meet with Robotics Undergraduate Academic Advisors. Refreshments and TEA are offered at each meeting.\n\nJoin us in having a conversation with the Robotics Undergraduate community.
UID:132138-21870374@events.umich.edu
URL:https://events.umich.edu/event/132138
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Michigan Robotics
LOCATION:Ford Robotics Building - 2000
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250123T125001
DTSTART;TZID=America/Detroit:20250403T150000
DTEND;TZID=America/Detroit:20250403T170000
SUMMARY:Social / Informal Gathering:Hopwood Tea
DESCRIPTION:All are welcome to tea\, coffee\, light refreshments\, and conviviality in a beautiful\, historic setting.
UID:124348-21868976@events.umich.edu
URL:https://events.umich.edu/event/124348
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Hopwood Program,Contemporary Literature,Literary Arts,The Helen Zell Writers' Program,Undergraduate Students,Writing,Books,Creative Writing,Department Of English Language And Literature,Faculty,Food,Free,Graduate Students
LOCATION:Angell Hall - 1176 (Hopwood Room)
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250310T110637
DTSTART;TZID=America/Detroit:20250403T150000
DTEND;TZID=America/Detroit:20250403T160000
SUMMARY:Workshop / Seminar:IOE 899: Huseyin Topaloglu
DESCRIPTION:About the speaker: Huseyin Topaloglu is the Howard and Eleanor Morgan Professor in the School of Operations Research and Information Engineering at Cornell Tech. He holds a Ph.D. in Operations Research and Financial Engineering from Princeton. His recent research focuses on constructing tractable solution methods for large-scale network revenue management problems and building approximation strategies for retail assortment planning.\n\nAbstract: When modeling the demand in revenue management systems\, a natural approach is to focus on a canonical interval of time\, such as a week\, so that we forecast the demand over each week in the selling horizon. Ideally\, we would like to use random variables with general distributions to model the demand over each week. The current demand can give a signal for the future demand\, so we also would like to capture the dependence between the demands over different weeks. Prevalent demand models in the literature\, which are based on a discrete-time approximation to a Poisson process\, are not compatible with these needs. In this talk\, we focus on revenue management models that are compatible with a natural approach for forecasting the demand. Building such models through dynamic programming is not difficult. We divide the selling horizon into multiple stages\, each stage being a canonical interval of time on the calendar. We have random number of customer arrivals in each stage\, whose distribution is arbitrary and depends on the number of arrivals in the previous stage. The question we seek to answer is the form of the corresponding fluid approximation. We give the correct fluid approximation in the sense that it yields asymptotically optimal policies. The form of our fluid approximation is surprising as its constraints use expected capacity consumption of a resource up to a certain time period\, conditional on the demand in the stage just before the time period in question.
UID:133624-21873317@events.umich.edu
URL:https://events.umich.edu/event/133624
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:899 Seminar Series,Industrial And Operations Engineering,Michigan Engineering,seminar
LOCATION:Industrial and Operations Engineering Building - G690
CONTACT:
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