The Faculty of Business invites members of the campus community – students, faculty and staff – to attend a virtual research presentation by Dr. Jiejian (Jack) Feng for a tenure-track position as assistant professor of business analytics and management science.

Candidate bio:

Dr. Jiejian (Jack) Feng has been an assistant professor (limited-term) at the Lazaridis School of Business & Economics, Wilfrid Laurier University, Waterloo, Canada, since 2020.  Before that, he worked at the Sobey School of Business, Saint Mary’s University, Halifax, Canada. He received his PhD and MPhil in Industrial Engineering and Engineering Management from the Hong Kong University of Science and Technology, Hong Kong, China, and his BA in Applied Mathematics from the South China University of Technology, Guangzhou, China. His current research and teaching interests include operations management, service operations, and data analytics. He has published papers in leading journals including Operations Research, European Journal of Operational Research, IISE Transactions, Computers & Industrial Engineering, Ergonomics, Journal of the Operational Research Society, Maritime Policy and Management, Naval Research Logistics, Operations Research Letters, and Transport Policy.

Presentation Title:  “Inventory Management and Customers’ Waiting Time”

Abstract:

First, I will introduce my research on inventory management and customers’ waiting time of these years. Then I will talk about the paper, “Fair No-Unnecessary-Waiting-Time-FCFS Allocation Rule in Multi-Item Inventory Systems.” The average customer waiting time is an important measure of service quality in systems in which customers may order multiple items. In this paper, we introduce a new allocation discipline, which not only eliminates the unnecessary waiting time of new customers by reallocating reserved items but also keeps the fairness of the first-come-first-serve (FCFS) allocation rule. We obtain analytic results of the average customer waiting time in the system with two items and unit demands under the new allocation rule, and our numerical experiments demonstrate the reduction of waiting time. We also provide an algorithm to evaluate the average customer waiting time with multiple items and batch ordering in a system. Our simulation results show that the new allocation rule can significantly reduce the average customer waiting time of some demands. Finally, I will introduce my research on the other topics.

The presentation will take place on March 18 from 12:45–1:45 pm (Atlantic Time) via the following Zoom link:  

https://upei.zoom.us/j/68210211032?pwd=ZjIwelE4UE04dmlZck81WWJ4TXY0UT09

Meeting ID: 682 1021 1032

Passcode: 070531

For further information, please contact Shelly Kavanagh at businessfac@upei.ca.