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随机需求收益最大化分销网络设计问题

A Profit-Maximizing Distribution Network Design Problem with Stochastic Demand
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摘要 研究随机需求的供应链分销网络设计问题。考虑供应商可以选择所服务的零售商,且供应商通过定价决策确定所服务的零售商。针对此问题,建立了一个非线性整数规划模型和一个等价的集合包裹模型,并利用列生成算法求解集合包裹模型,同时提出一种O(n3logn)时间的算法求解列生成算法中产生的子问题。数值计算表明,本文所提出的算法具有很好的最优性和可行性。 In this paper , we consider a supply chain distribution network design problem with stochastic demand . We assume that the company can choose whether to satisfy each potential retailer's demand , and determine which retailers to serve by the pricing decision .We formulate this problem as a nonlinear integer programming model , and a set-packing model , respectively .We solve the relaxation problem of the set-packing model via column gen-eration , and also introduce an algorithm to solve the sub-problem that arises from the column generation proce-dure in O( n3 logn) time.Computational results show that the algorithm proposed in this paper is very efficient and effective.
出处 《运筹与管理》 CSSCI CSCD 北大核心 2014年第6期102-107,共6页 Operations Research and Management Science
基金 国家自然科学基金资助项目(71071033)
关键词 供应链 分销网络 收益最大化 集合包裹模型 列生成 supply chain distribution network profit-maximizing set-packing model column generation
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参考文献15

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