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《Journal of Northeastern University(Natural Science)》 2002-01
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Minimum Cost Model of Distribution Systems Under Demand Uncertainty

GAO Jun jun, WANG Ying jun, GUO Ya jun (School of Business Administration, Northeastern University, Shenyang 110004, China,  
Minimum cost models of distribution system were proposed for a single product supply chain. The demand per day and the lead time (composed of fixed ordering process time and uncertain transportation time) were assumed to be stochastic variables. The product shortage was allowed. Cost optimization problems of distribution systems with two manufacturers and two retailers were studied with restricted service level. And customer's demand was met by the retailers. The models synthetically consider holding cost, ordering cost, transportation cost and shortage cost. In order to solve the aforementioned optimization problems, the optimal order quantities that satisfied the constraints were obtained. Finally, a case was given to illustrate the solving process for the models.
【Fund】: 中国博士后基金资助项目;; 辽宁省自然科学基金资助项目 (9810 2 0 0 5 )
【CateGory Index】: F224
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