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作者：Chen, Xin; Hu, Peng; Shum, Stephen; Zhang, Yuhan
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Huazhong University of Science & Technology; City University of Hong Kong
摘要：We analyze the joint inventory and pricing decisions of a firm when demand depends on not only the current selling price but also a memory-based reference price and customers are loss averse. The presence of reference price effect leads to a nonconcave one-period expected revenue in price and reference price. We introduce a transformation technique that allows us to prove under some mild assumptions the optimality of a reference-price-dependent base-stock list-price policy, which is characteri...
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作者：Arts, Joachim; Basten, Rob; Van Houtum, Geert-Jan
作者单位：Eindhoven University of Technology
摘要：We consider a single stock-point for a repairable item facing Markov modulated Poisson demand. Repair of failed parts may be expedited at an additional cost to receive a shorter lead time. Demand that cannot be filled immediately is backordered and penalized. The manager decides on the number of spare repairables to purchase and on the expediting policy. We characterize the optimal expediting policy using a Markov decision process formulation and provide closed-form necessary and sufficient co...
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作者：Angelus, Alexandar; Ozer, Ozalp
作者单位：University of Texas System; University of Texas Dallas
摘要：We consider a nonstationary, stochastic, multistage supply system with a general assembly structure, in which customers can place orders in advance of their future demand requirements. This advance demand information is now recognized in both theory and practice as an important strategy for managing the mismatch between supply and demand. In conjunction, we allow expediting of components and partially completed subassemblies in the system to provide the supply chain with the means to manage th...
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作者：Nobibon, Fabrice Talla; Cherchye, Laurens; Crama, Yves; Demuynck, Thomas; De Rock, Bram; Spieksma, Frits C. R.
作者单位：KU Leuven; University of Liege; Maastricht University; Universite Libre de Bruxelles; KU Leuven
摘要：This paper focuses on revealed preference tests of the collective model of household consumption. We start by showing that the decision problems corresponding to testing collective rationality are NP-complete. This makes the application of these tests problematic for (increasingly available) large(r)-scale data sets. We then present two approaches to overcome this negative result. First, we introduce exact algorithms based on mixed-integer programming (MIP) formulations of the collective ratio...
