YE LIU
Assistant Professor of Supply Chain Management
Whitman School of Management
Syracuse University
My research focuses on:
artificial intelligence, risk management, commodity markets, supply chain finance
analytical and data-driven methodologies, including approximate dynamic programming, machine learning, and deep reinforcement learning
Education:
Ph.D. in Supply Chain, Operations and Technology
(Washington University in St. Louis - Olin Business School)
RECENT PUBLICATION
Managing Operations of a Hog Farm Facing Volatile Markets: Inventory and Selling Strategies
with Panos Kouvelis, Yunzhe Qiu and Danko Turcic
Manufacturing & Service Operations Management (2023)
presented at
POMS Annual Conference, Virtual, 2022
INFORMS Annual Meeting, Virtual, 2021
MSOM SIG in iFORM, Virtual, 2021
INFORMS Annual Meeting, Anaheim, CA, 2021
WORKING PAPERS
An Empirically Grounding Analytics (EGA) Approach to Hog Farm Finishing Stage Management:
Deep Reinforcement Learning as Decision Support and Managerial Learning Tool
with Panos Kouvelis and Danko Turcic
under review at Journal of Operations Management
presented at
MSOM Conference, Minneapolis, MN, 2024
POMS Annual Conference, Minneapolis, MN, 2024 (Session Chair)
Purdue Operations Symposium, West Lafayette, IN, 2023
POMS Annual Conference, Orlando, FL, 2023 (Session Chair)
Deep Hedging Strategies for a Risk-Averse Hog Farm
with Panos Kouvelis and Danko Turcic
work in progress