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(5-4AM10:30)第477期岭南学术论坛(管理学系列Seminar)

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报告题目:Choice-based Revenue Management for Probabilistic Goods

报 告 人:肖勇波(清华大学副教授,国家优青、教育部青年长江)

主 持 人:徐佳焱(中山大学岭南学院   助理教授)

时      间:2018年5月4日(周五)上午10:30-12:00

地      点:岭南堂汪道涵会议室

语      言:中文+英文

 

摘要:

Probabilistic selling provides a new dimension to segment a market and benefits a seller from price discrimination. This paper extends the idea behind probabilistic selling to a more general setup, by developing a menu of probabilistic goods (PGs) based on multiple physical products. In particular, the seller has a fixed inventory level for each physical product at the beginning of a finite selling horizon. Faced with sequential customer arrivals, the seller dynamically controls the offering of multiple PGs in order to maximize expected revenue. Incorporating customer choice model, we formulate the seller's problem as a continuous-time, discrete-state, finite-horizon dynamic program (DP). Due to the complexity of solving this multi-dimensional DP, we resort to heuristics. We first study the deterministic version of the problem (i.e., the fluid control problem) and develop a time-based fluid policy. The policy is shown to be asymptotically optimal for the original stochastic problem. Further, the static nature of the fluid policy and its lack of flexibility in matching supply with demand motivate us to develop decomposition approximation which generates a dynamic control policy. Numerical experiments are conducted to evaluate the performance of the two heuristics and the benefits of selling a menu of PGs. (This is a joint work with Qian Liu of HKUST.)

 

个人简介:

Yongbo Xiao is an Associate Professor (with tenure) at School of Economics and Management, Tsinghua University, China. He received his Ph.D. and M.A. in Management Science and Engineering in 2006, and B.E. in Management Information Systems in 2000, all from Tsinghua University. He joined Tsinghua SEM as an assistant professor in Aug. 2008 after he completed his postdoctoral research in Department of Economics in Tsinghua SEM. He was awarded the “Science Fund for Excellent Young Scholar” under National Natural Science Foundation of China (NSFC) in 2012 and the “Young Scholar Award of Chinese Management Science” in 2014. He was elected as a Chang Jiang scholar in 2016. Dr. Xiao’s research interests include revenue and pricing management, service management, supply chain management, and healthcare management. His research paper has been published in international journals, including Production and Operations Management, Decision Sciences, Naval Research Logistics, and IIE Transactions.

 

 

 

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