YE LIU
Job Market Candidate in Supply Chain, Operations and Technology
Washington University in St. Louis - Olin Business School
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
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 (submitted to Journal of Operations Management)
presented at
POMS Annual Conference, Minneapolis, MN, 2024 (Scheduled, 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