报告题目：Auto-Replenishment with Human Oversight: Evidence fromaConvenience Store Implementation

报告人：徐亮

时间：6月13日（周四）上午10:00-11:30

地点：西安交通大学创新港涵英楼经济金融研究院8001会议室

报告人简介：

徐亮，新加坡管理大学李光前商学院运营管理系助理教授，2019年在宾夕法尼亚州立大学斯米尔商学院获得供应链管理博士学位。曾在2019年至2022年在内布拉斯加大学林肯分校担任助理教授。研究兴趣为医疗和制药供应链、行为运营和大数据分析。研究成果发表在Manufacturing & Service Operations Management, Production and Operations Management杂志等期刊上，并且因其在监管合规方面的研究工作被邀请在美国药监局发表演讲。

摘要：

This study investigates the integration of an auto-replenishment system and human oversight in inventory management. While managers oversight can enhance the effectiveness of the auto-replenishment algorithm by leveraging their private information, they may also deviate due to their inherent behavioral biases. We conducted a field experiment in which the auto-replenishment algorithm was implemented in 20 treatment stores, with the other56 stores as controls. Previously, managers tended to place large and ad-hoc orders due to the cognitive complexity of managing thousands of items in a store, resulting in excessive inventory and reduced service levels. The auto-replenishment system helps automate the ordering process, thereby mitigating managers’ negligence bias by prompting them to order when inventory levels are low and improving ordering frequency by recommending smaller order quantities as an anchor. The results show a significant service level improvement in stores using the system, without additional inventory. The study finds that managers tend to override the system’s recommendations for popular items due to their experience, while they are more likely to follow the system’s recommendations for non-popular items. These insights emphasize the need for a balanced approach between the precision of the auto-replenishment system and human expertise, particularly for managing less popular items.

经济与金融学院

2024年6月7日