时间：2026年1月12日下午

地点：东校区财科馆三楼会议室

议程

Introductions

1. Professor Yichuan Ding

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 Artificial Intelligence 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 currently serves as the chair of INFORMS MSOM/Healthcare SIG and the Vice President/President-Elect of the CORS Health Care Operational Research SIG. He served as the President of the Canadian Operational Research Society (CORS) Queueing and Applied Probability SIG from 2022 to 2024.

Title: Multi-Listing for Horizontally Differentiated Services

Abstract: This paper studies a queueing system with horizontally differentiated servers. Each customer decides whether to join the queues of multiple servers simultaneously (“multi-list”), join the queue exclusively served by her preferred server, or balk. Such a multi-listing system contrasts a single-listing system, which allows for server choice but prohibits multi-listing, and a pooling system, which precludes server choice by requiring every joining customer to multi-list. We build queueing-game-theoretic models of the three systems above and compare their throughput and social welfare in equilibrium. Between a single-listing system and a pooling system, the former better facilitates matching between customers and servers, whereas the latter excels at reducing waiting time through load balancing. Accordingly, we find that either system can outperform the other in either throughput or social welfare. One may expect the multi-listing system to beat both single-listing and pooling as it marries the matching value of the former with the operational advantage of the latter. We find that multi-listing indeed outperforms pooling in both throughput and social welfare. While multi-listing also achieves higher throughput than single-listing, it can strikingly underperform single-listing in social welfare. In contrast to the equilibrium, the socially optimal routing policy of the multi-listing system can be asymmetric across the servers even when the servers are ex-ante symmetric. Relative to the social optimum, customers under-choose multi-listing in equilibrium when the congestion level is low but may over-multi-list otherwise. The social planner can charge nonnegative, asymmetric prices to restore efficiency in equilibrium. Our paper provides design guidance for the configuration of multi-server service systems. This is a joint work with Zhou Chen and Luyi Yang.

2. Professor Vinod Singhal

Vinod Singhal is the Charles W. Brady Chair Professor of Operations Management at the Scheller College of Business at Georgia Institute of Technology, Atlanta, USA. He has a Ph.D. from University of Rochester, Rochester, USA. Prior to joining Georgia Tech., he worked as a Senior Research Scientist at General Motors Research Labs.

Vinod’s research has focused on the impact of operating decisions on accounting and stock market-based performance measures. His research has been supported through grants from the US Department of Labor, National Science Foundation, the American Society of Quality, and the Sloan Foundation. He has published extensively in academic journals and has made more than 200 presentations at different universities. His research has been recognized in the practitioner community through his many articles in industry-practitioner journals and frequent invited presentations as keynote speaker at practitioner conferences. His research has been cited over 200 times in practitioner publications such as Business Week, The Economist, Fortune, Smart Money, CFO Europe, Financial Times, Investor’s Business Daily, and Daily Telegraph. His research has been extensively cited in academic publications, with nearly 15,000 citations. His paper “An empirical analysis of the effect of supply chain disruptions on long‐run stock price performance and equity risk of the firm” was voted by the POMS members in 2024 as one of the top-ten papers published in Production and Operations Management in the last 30 years.

Vinod is a Departmental Editor of Production and Operations Management. He has served as an Associate Editor of Management Science, Manufacturing and Service Operations Management, and Journal of Operations Management. He is a Fellow of the Production and Operations Management Society. He served on the Academic Advisory Board of the European School of Management and Technology, Germany.

Vinod’s teaching interests include operations strategy and supply chain management. He has contributed to teaching at an international level, as well, by offering research workshops in countries including Australia, China, France, Germany, Hong Kong, India, New Zealand, Singapore, South Korea, Spain, Sweden, and United Kingdom.

Title: Framework for doing empirical research in supply chain management

In this talk, I will present a framework for conducting empirical research in supply chain management. I will discuss how to select impactful topics, define research boundaries, and choose appropriate data sources and methodological approaches. I will highlight several promising areas for future inquiry and illustrate the framework with a recent empirical study from my own work in supply chain management.

3. Professor Lujie Chen

Lujie Chen is a full Professor of Management at Xian Jiaotong-Liverpool University. Prof. Chen is Elsevier-Stanford University World's Top 2% Scientists 2024 and 2025 (the only one in IBSS). She is a Fellow of the Higher Education Academy in the UK and an expert in the fields of supply chain management and business analytics. Dr. Chen has published over 60 high-quality and impactful papers in top-tier journals such as the Journal of Operations Management (UTD 24), Harvard Business Review (FT50), International Journal of Operations and Production Management (ABS 4), British Journal of Management (ABS 4), and European Journal of Operational Research (ABS 4), among others. She has served as a guest editor for special issues of several respected journals such as International Journal of Operations and Production Management, Industrial Marketing Management, International Journal of Production Economics, and Journal of Business Research. She is currently serving as an Associate Editor for the International Journal of Operations and Production Management (ABS 4) and Department Editor for IEEE TEM (ABS 3, FMS A).

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