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作者：Lu, Ye; Song, Miao; Yang, Yi
作者单位：City University of Hong Kong; Hong Kong Polytechnic University; Zhejiang University
摘要：In retailing operations, retailers face the challenge of incomplete demand information. We develop a new concept named K-approximate convexity, which is shown to be a generalization of K-convexity, to address this challenge. This idea is applied to obtain a base-stock list-price policy for the joint inventory and pricing control problem with incomplete demand information and even non-concave revenue function. A worst-case performance bound of the policy is established. In a numerical study whe...
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作者：He, Yuhong; Ray, Saibal; Yin, Shuya
作者单位：California State University System; California State University Fullerton; McGill University; University of California System; University of California Irvine
摘要：Firms producing complementary goods often strategically form groups and jointly sell their products to better coordinate their decisions. For consumer durables, decisions about such collaboration might be complicated due to two factors. Because of their durability and presence of used goods markets, such products engender future price competition between new and used goods. On the other hand, consumers of such products might be forward-looking and patient, both of which affect their purchasing...
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作者：McCaffrey, David; Walczak, Darius
摘要：We consider a revenue management problem involving a two compartment aircraft flying a single leg, with no cancellations or over-booking. We apply the practice of transforming a choice revenue management model into an independent demand model. Within this assumed independent model, there are two sets of demands, business and economy, each with multiple fare class products. A business passenger can only be accepted into business. An economy passenger can be accepted into economy or upgraded int...
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作者：Roth, Aleda; Singhal, Jaya; Singhal, Kalyan; Tang, Christopher S.
作者单位：Clemson University; University System of Maryland; University of Baltimore; University of California System; University of California Los Angeles
摘要：During the last 25years, the ecosystem of knowledge creation and dissemination in operations and supply chain management has improved remarkably. We now see OM as a vibrant community and an ecosystem in steady state. Yet, there are many opportunities ahead to revitalize our field and to expand our influence. In the spirit of continuous improvement, we propose that we focus our major efforts on accelerating the following four developments: First, having greatly expanded the domain of operations...
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作者：de Vries, Jelle; de Koster, Rene; Stam, Daan
作者单位：Vrije Universiteit Amsterdam; Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC
摘要：A controlled field experiment investigates order picking performance in terms of productivity. We examined three manual picker-to-parts order picking methods (parallel, zone, and dynamic zone picking) under two different incentive systems (competition-based vs. cooperation-based) for pickers with different regulatory foci (prevention-focus vs. promotion-focus). The study was carried out in a warehouse erected especially for the purposes of order picking research. Our results show that when usi...
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作者：Joglekar, Nitin R.; Davies, Jane; Anderson, Edward G.
作者单位：Boston University; University of Cambridge; University of Texas System; University of Texas Austin
摘要：The research domain Industry Studies and Public Policy (IS&PP) seeks to further our understanding of industrial practices and managerial challenges by explicitly considering contextual details in the design and interpretation of research studies. These details can be vital considerations when shaping public policies. This article reviews a sample of IS&PP publications and analyzes the content of 180 selected papers85 papers published in the Production and Operations Management (POM) journal an...
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作者：Martagan, Tugce; Krishnamurthy, Ananth; Leland, Peter A.; Maravelias, Christos T.
作者单位：Eindhoven University of Technology; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
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作者：Gupta, Varun; Cakanyildirim, Metin
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; University of Texas System; University of Texas Dallas
摘要：Willingness To Pay (WTP) of customers plays an anchoring role in pricing. This study proposes a new choice model based on WTP, incorporating sequential decision making, where the products with positive utility of purchase are considered in the order of customer preference. We compare WTP-choice model with the commonly used (multinomial) Logit model with respect to the underlying choice process, information requirement, and independence of irrelevant alternatives. Using WTP-choice model, we fin...
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作者：Li, Xin; Guo, Pengfei; Lian, Zhaotong
作者单位：Macau University of Science & Technology; Hong Kong Polytechnic University; University of Macau
摘要：We consider a system in which two competing servers provide customer-intensive services and the service reward is affected by the length of service time. The customers are boundedly rational and choose their service providers according to a logit model. We demonstrate that the service provider revenue function is unimodal in the service rate, its decision variable, and show that the service rate competition has a unique and stable equilibrium. We then study the price decision under three scena...
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作者：Oh, Sechan; Ozer, Ozalp
作者单位：International Business Machines (IBM); IBM USA; University of Texas System; University of Texas Dallas
摘要：This paper studies a stochastic model of optimal stopping processes, which arise frequently in operational problems (e.g., when a manager needs to determine an optimal epoch to stop a process). For such problems, we propose an effective method of characterizing the structure of the optimal stopping policy for the class of discrete-time optimal stopping problems. Using this method, we also derive a set of metatheorems that can help identify when a threshold or control-band type stopping policy ...
