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作者：Chen, Ying-Ju; Vulcano, Gustavo
作者单位：University of California System; University of California Berkeley; New York University
摘要：We study a supply chain where an upstream supplier auctions his inventory or capacity as a bundle. The importance of this setting is twofold: From a practical point of view, there are several examples, both in manufacturing (e. g., auctioning the capacity of a wafer fabrication facility) and service industries (e. g., auctioning the sponsorship of a website), where a supplier's capacity is sold as a single piece; from a theoretical side, it highlights the information asymmetry introduced on th...
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作者：Dong, Lingxiu; Kouvelis, Panos; Tian, Zhongjun
作者单位：Washington University (WUSTL); Shanghai University of Finance & Economics
摘要：We study dynamic pricing and inventory control of substitute products for a retailer who faces a long supply lead time and a short selling season. Within a multinomial logit model of consumer choice over substitutes, we develop a stochastic dynamic programming formulation and derive the optimal dynamic pricing policy. We prove that dynamic pricing converges to static pricing as inventory levels of all variates approach the number of remaining selling periods (assuming at most one customer arri...
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作者：Xu, Ping Josephine; Allgor, Russell; Graves, Stephen C.
作者单位：Amazon.com; Massachusetts Institute of Technology (MIT)
摘要：When a customer orders online, an online retailer assigns the order to one or more of its warehouses and/or drop-shippers to minimize procurement and transportation costs based on the available current information. However, this assignment is necessarily myopic because it cannot account for any subsequent customer orders or future inventory replenishment. We examine the benefits of periodically reevaluating these real-time assignments. We construct near-optimal heuristics for the reassignment ...
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作者：Bodea, Tudor; Ferguson, Mark; Garrow, Laurie
作者单位：University System of Georgia; Georgia Institute of Technology; University System of Georgia; Georgia Institute of Technology
摘要：In this paper, we describe data collected from five U. S. properties of a major hotel chain that can be used to benchmark the performance of choice-based revenue management (RM) algorithms. The process used to collect this data illustrates subtle complexities involved in extracting product availability information from current RM systems and sheds new light on practical issues that need to be addressed to successfully implement choice-based RM systems. The data described in this paper is publi...
