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Machine Learning & Supply Chain Management Workshop
Schedule of Events

Machine Learning and Supply Chain Management Workshop | December 13-14, 2021

Iacocca Conference Center, Lehigh University Mountaintop Campus
All presentations were held in the Wood Dining Room, Iacocca Hall (2nd Floor)

Monday, December 13, 2021

Times shown are in US Eastern Standard Time (EST)

Time (EST)	Title	Presenter	LINK
8:15AM	Breakfast and Registration
9:00AM	Opening Remarks	Dean Steve DeWeerth, Lehigh University
9:15AM	Same-Day Delivery with Fair Customer Service	Barrett Thomas, University of Iowa	Video
10:00AM	Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment In Warehouse Operations	Jiankun Sun, Imperial College London	Video
10:30AM	Break
10:45AM	Can Deep Reinforcement Learning Improve Inventory Management? Performance on Dual Sourcing, Lost Sales and Multi-Echelon Problems	Joren Gijsbrechts, Universidade Católica Portuguesa, Portugal	Video
11:30AM	Almost Matching Exactly for Observational Causal Inference	Cynthia Rudin, Duke University	Video
12:00	Lunch
1:15PM	Algorithmic Tools for US Congressional Districting: Fairness via Analytics	David B. Shmoys, Cornell University	Video
2:00PM	From Small to Large Data – How Can We Leverage Synthetic Data for ML in Operations & Supply Chain Management?	Richard Pibernik, Julius-Maximilians University of Wuerzburg, Germany	Video
2:45PM	Break
3:00 PM	Panel Discussion. "Here Today, Better Tomorrow" - Machine Learning in Practice & Supply Chain. Moderated by Jan van Mieghem, Northwestern University	Panelists: Barrett Thomas; Richard Pibernick, Mike Watson and Swati Gupta	Video
4:15PM	Break
4:30PM	How to Make Sure Machine Learning Has an Impact on Supply Chains	Polly Mitchell-Guthrie, Kinaxis	Video
5:15PM-6:30PM	Reception & Student Poster Session. Building C Lobby, Mountaintop Campus Evening free following the reception. Dinner on your own	Poster Abstracts

Tuesday, December 14, 2021

Times shown are in US Eastern Standard Time (EST)

TimE (EST)	Title	Presenter	Link
8:30AM	Breakfast and Registration
9:00AM	A Practical End-to-End Inventory Management Model with Deep Learning	Zuo-Jun Max Shen, UC-Berkeley / University of Hong Kong	Video
9:30AM	Opportunities for Ethical ML and Supply Chains	Swati Gupta, Georgia Tech	Video
10:15AM	Break
10:30AM	Data-driven Stochastic Vehicle Routing Problem and Job Shop Using Reinforcement Learning	Martin Takac, Lehigh University / Mohamed bin Zayed University of Artificial Intelligence, UAE	Video
11:00AM	Heuristics for Mixed-Integer Optimization Through a Machine Learning Lens	Andrea Lodi, Cornell Tech	Video
11:45AM	Lunch
1:00PM	Chips and Beer: Using Machine Learning to Optimize Inventory	Larry Snyder, Lehigh University	Video
1:45PM	AI/ML Applications for Industry: The Proven and Future Direction	Michael Watson, Coupa Software	Video
2:30PM	Closing Remarks	Larry Snyder & Jan van Mieghem