【新时代物流沙龙第55期】 Experience-Led Learning Optimization Model for Hotel Pricing

时间：2024年8月23日（周五）17:00-18:00

地点：思源东楼611         

报告人简介：田林，复旦大学管理学院管理科学系教授、博士生导师、副系主任。研究领域为面向平台供应链的运营决策问题，涉及电商平台、共享平台、在线服务平台等。研究成果发表在JMR、MKSC、MS、MSOM、OR、POM、《管理科学学报》等国际与国内知名期刊。主持国家自科杰青项目、优青项目，同时主持或参与可口可乐（上海）、华为技术有限公司、华住集团、中国东方航空等多个企业项目。担任Production and Operations Management的Senior Editor, Decision Sciences与Service Science的Associate Editor，《营销科学学报》编委会副主任，以及《系统工程理论与实践》《系统管理学报》的编委。

报告摘要：Drawing on insights from interviews with hotel managers and an extensive analysis of hotel pricing data, we recognized the pivotal importance of learning from historical events. This realization prompted us to explore techniques for gleaning valuable insights from historical data, culminating in the creation of a history-informed pricing strategy termed the DDD algorithm. We evaluate the performance of the DDD algorithm by examining revenue regret and time complexity. We also validate the DDD algorithm using real hotel data, and numerical experiments demonstrate the strong performance of the DDD algorithm.