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Coordinating pricing and inventory control in a fluctuating environment
Authors:Ju-liang Zhang  Jian Chen  Xiang-sun Zhang
Institution:[1]Department of Logistics Management, School of Economics and Management, Beijing Jiaotong University,Beijing 100044, China [2]Department of Management Science and Engineering, School of Economics and Management, Tsinghua Uni-versity, Beijing 100084, China [3]Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sci-ences, Beijing 100190, China
Abstract:This paper addresses the simultaneous determination of pricing and inventory replenishment strategies under a fluctuating environment. Specifically, we analyze the single item, periodic review model. The demand consists of two parts: the deterministic component, which is influenced by the price, and the stochastic component (perturbation). The distribution of the stochastic component is determined by the current state of an exogenous Markov chain. The price that is charged in any given period can be specified dynamically. A replenishment order may be placed at the beginning of some or all of the periods, and stockouts are fully backlogged. Ordering costs that are lower semicontinuous, and inventory/backlog (or surplus) costs that are continuous with polynomial growth. Finite-horizon and infinite-horizon problems are addressed. Existence of optimal policies is established. Furthermore, optimality of (s,S,p)-type policies is proved when the ordering cost consists of fixed and proportional cost components and the surplus cost (these costs are all state-dependent) is convex.
Keywords:Stochastic inventory management  Markov chains  pricing  finite horizon  infinite horizon
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