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Webinar 2 June 15, 12:00-2:00 PM EDT
"Decision Making Under COVID-19: Planning & Recovery"
Session 1:
"Covid-19 Scratch Models to Support Local Decisions"
Edward H. Kaplan, William N. and Marie A. Beach Professor of Operations Research, Professor of Public Health, Professor of Engineering, Yale School of Management, Yale University
Abstract: I was appointed to Yale University's COVID-19 advisory committee to provide analyses supporting university decisions during the early weeks of the SARS-CoV-2 outbreak. This work expanded in response to requests from the Yale New Haven Hospital and the State of Connecticut for help. Much of this work relied on scratch modeling, that is, models created from scratch in real time. Applications to date include determining crowd-size restrictions on events, hospital surge planning, university shutdown and restart timing decisions, designing viral testing programs, and environmental monitoring by testing sludge from the local wastewater treatment plant. I will describe the problems faced, types of models developed, and advice offered during real-time response to the COVID-19 crisis at the local level.
Session 2:
"How To Prepare For Ramping Up? Riding The Covid Wave in the Next Six Months"
Jan C. Fransoo, Professor of Operations Management and Logistics, Kuehne Logistics University
Abstract: Extending our successful dynamic models that we deployed 11 years ago during the credit crisis, we model the production and market lockdowns caused by the Covid-19 crisis. We estimate the supply chain dynamics that we may see unfold over the next few months. Our results show that inventory dynamics may be very large, caused by dramatic drops in demand. Regardless of how the market recovery will evolve, we demonstrate the criticality of monitoring cumulative supply chain inventory and market demand. For companies upstream in the supply chain, the impact of the inventory evolution is much stronger than the exact details of the market recovery.
Panel Discussion:
"Interpreting Predictive Models Related to Covid-19"
Join us as three experts discuss the challenges related to interpreting predictive models subject to extreme uncertainty. All analytical models are subject to the limitations of existing data and underlying assumptions. Models related to COVID-19 are especially challenging to interpret due to the lack of historical data and the inherent uncertainty of human behavior during these unprecedented times. Learn from experts on how best to communicate model results and insights to decision makers when models are subject to high degrees of uncertainty.
You'll have an opportunity to ask these experts your questions, as well, so please join us for this highly interactive discussion!
Panelists:
- Stephan Chase, Founder, Chase Intel
- Edward H. Kaplan, William N. and Marie A. Beach Professor of Operations Research, Professor of Public Health, Professor of Engineering, Yale School of Management, Yale University
- Jan C. Fransoo, Professor of Operations Management and Logistics, Kuehne Logistics University
Stephan Chase, Founder, Chase Intel
BIO: A former VP of Consumer Insight Research and Analytics at Marriott International, Stephan is a strategic and analytical leader with a proven track record in driving short and long-term revenue through the creation and application of customer-focused analytics.
Jan C Fransoo, Professor of Operations Management and Logistics, Kuehne Logistics University
BIO: Jan C. Fransoo is Professor of Operations Management & Logistics at Kuehne Logistics University in Hamburg, Germany. Professor Fransoo's research studies operations, logistics, and supply chain management decision making in the retail, chemical, food, pharmaceutical and transport industries. His current research focuses in particular on retail distribution and channel management in developing markets, on intermodal container transport, and on sustainability and social responsibility in supply chains. Fransoo has been published extensively in leading academic journals and books. His recent book on Sustainable Supply Chain Management has been downloaded over 2 million times. Fransoo holds a Master of Science degree in Industrial Engineering and a Doctor of Philosophy degree in Operations Management and Logistics, both from Eindhoven University of Technology.
Edward H Kaplan, William N. and Marie A. Beach Professor of Operations Research, Professor of Public Health, Professor of Engineering, Yale School of Management, Yale University
BIO: Edward H. Kaplan is the William N. and Marie A. Beach Professor of Operations Research, Public Health, and Engineering at Yale University's School of Management. An expert in operations research, mathematical modeling and statistics, Kaplan was elected to the National Academy of Engineering and the Institute of Medicine (now the National Academy of Medicine). His research in HIV prevention and counterterrorism has been recognized with the Edelman Award, Lanchester Prize, Centers for Disease Control's Charles C. Shepard Science Award, INFORMS President's Award, three Koopman Prizes, and numerous other awards. Kaplan was the Lady Davis Visiting Professor of medicine and of statistics at the Hebrew University of Jerusalem, and also served as a visiting professor to the Faculty of Industrial Engineering and Management at the Technion-Israel Institute of Technology, the Survey Research Center at UC Berkeley, Columbia's Graduate School of Business, MIT's Sloan School of Management, and Stanford's Graduate School of Business
Click here to register for Webinar 2 on June 15
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