信息管理与商业智能系学术讲座

时间：2024-7-18（周四）14:00-16:00

地点：线上腾讯会议 234 924 548 / 密码 722722

线下：李达三楼104室

题目：Pick Efficiency in Parts-to-Picker Picking Systems: Insights from An Ecommerce Order Fulfillment Center

主讲人：Xiaosong (David) Peng （彭小松）教授，Lehigh University

主持人：窦一凡教授信息管理与商业智能系

内容摘要:

A parts-to-picker picking system facilitated by automated guided vehicles (AGVs) is studied. Using empirical big data from a large order fulfillment center of a leading e-commerce firm, we evaluate the factors affecting pick efficiency, including experience, work time, shopping holidays, working environment, and stockkeeping-unit (SKU) density. In addition, to solve the high turnover rate issue among employees, we use big data techniques to identify three distinct types of pickers (i.e., rising potentials, committed performers, and average employees) and also examine their learning heterogeneity to assist in implementing targeted strategies for talent development and employee retention. Further, the fatigue effect is verified for non-holidays, during which the relationship between work time and pick time exhibits a U-shaped curve, with the turning point being at around 3 hours. However, the pickers’ performance remains relatively stable during shopping holidays, despite long work hours and heavy workloads. Our analysis further uncovers that the fatigue effect is more significant for relatively less experienced pickers during holidays. Using simulation, we show that pick efficiency can be improved by 16.0%–20.5% and the total number of remaining unfulfilled orders can be reduced by 14.6% by incorporating picker factors (learning and fatigue) into picking task assignments.

嘉宾简介:

Xiaosong (David) Peng is professor and associate dean and holds dean’s chair professorship in the College of Business, Lehigh University. Professor Peng completed his doctoral degree in Operations Management from the Carlson School of Management, University of Minnesota and a master’s degree in information systems management from Carnegie Mellon University.

Professor Peng’s research interests are in operations and supply chain strategy, service and manufacturing technology management, healthcare operations management, and empirical research methods. Professor Peng’s research has appeared in Manufacturing and Service Operations Management, Journal of Operations Management, Production and Operations Management, Decision Sciences, Journal of Supply Chain Management, among others. He is currently department editor for Journal of Operations Management, senior editor for Production and Operations Management, and associate editor for Decision Sciences Journal and Journal of Supply Chain Management.