Presented By: U-M Industrial & Operations Engineering
IOE Lunch & Learn Seminar Series: Emily Tucker, U-M IOE
Incentivizing Supply Chain Resiliency to Prevent Drug Shortages
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.
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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