报告题目：Distributionally Robust Assortment Optimization and Satisficing

报告人：浙江大学金庆伟教授

报告时间：2024年7月5日 下午16:00 - 16：50

报告地点：综合楼710

邀请人：人工智能系黄敏教授

报告内容概要：

We consider an assortment optimization problem where the retailer needs to choose a set of products to offer to customers from the range of available products. By choosing the assortment, which will affect customers' purchase choice, the retailer aims to obtain a high expected revenue. We study the robust setting in the sense that we do not have exact knowledge of the distribution of customers' utility from each product. Specifically, we introduce two distributionally robust assortment formulations, robust assortment revenue optimization and robust assortment revenue satisficing. While the former uses a pre-specified ambiguity set to characterize the scope of the probability distributions of customers' utilities, the latter uses a target driven approach to take all probability distributions into account. By using the multinomial logit model as the reference choice model for both formulations, we show that the optimal assortments exhibit a revenue ordered property, i.e., products in the optimal assortment have higher revenue than those not in the assortment. When the assortment optimization problems have a cardinality constraint, we develop efficient methods to find optimal solutions. Theoretically, we show that by comparison with the revenue optimization approach, the revenue satisficing approach can achieve the target revenue with a higher probability and has a lower computational complexity. We also provide computational studies to demonstrate that the revenue satisficing approach can outperform the benchmark approaches in terms of achieving target revenues.

报告人简介：

金庆伟博士，浙江大学管理学院教授，毕业于美国北卡罗莱纳州立大学工业与系统工程学系工业工程方向。主要研究方向为优化理论与算法，收益管理，运营与供应链管理，多年来持续关注鲁棒优化决策、整数优化决策、基于消费者行为和数据驱动的动态定价决策、产品组合规划决策等问题，主持相关领域多项国家级、省部级科研项目。发表国际期刊论文数十篇，包括SIAM Journal on Optimization、Production and Operations Management、INFORMS Journal on Computing等国际高水平期刊。曾为联合利华、天猫供应链、览众科技等企业提供销量预测、畅销品识别、产品调拨等解决方案。