Dynamic Substitution Strategies for Perishable Products in Food Retailing

信息管理与工程学院308室
上海财经大学（第三教学楼西侧）

上海市杨浦区武东路100号

Dr. Yichuan Ding is an Associate Professor at the Desautels Faculty of Management, McGill University, where he holds the title of Desautels Faculty Scholar and serves as the Academic Director of the Global Manufacturing and Supply Chain Management (GMSCM) Master's Program. He earned his Ph.D. in Management Science and Engineering from Stanford University in 2012.  

Dr. Ding's research focuses on applying operations research and data analytics to enhance the efficiency and equity of healthcare delivery systems.  His research has been published in leading journals such as Operations Research, Mathematics of Operations Research, Manufacturing & Service Operations Management (M&SOM), and Production and Operations Management (POM). His work has been recognized with several honors, including winning the 2023 POMS College of Healthcare Operations Management Best Paper Competition and being named a finalist for the 2019 Pierskalla Best Paper Competition and the 2017 INFORMS Behavioral Operations Management Best Working Paper Competition.

Dr. Ding currently serves as an Associate Editor for M&SOM, Service Science, and Operations Research Letters. He co-chaired the 2023 INFORMS MSOM Conference in Montreal. Dr. Ding serves as the President of INFORMS MSOM/Healthcare SIG,  the President of the Canadian Operational Research Society (CORS) Queueing and Applied Probability SIG from 2022 to 2024 and the Vice-President and President-Elect of the CORS Health Care Operational Research SIG.

Maturin, a leading online grocery platform, serves as a vital link between over 1000 Quebec farms and consumers, offering more than 10000 local farm products. This project aims to address Maturin’s key operational challenges, particularly in perishable product substitution and inventory management, which are compounded by high demand variability and perishability of products. We use the Lagrangian relaxation and decomposition method to address the computational challenges, which yields a heuristic allocation policy with provable asymptotic bounds.

RIIS