模糊环境下库存与运输整合优化问题研究  

RESEARCH ON FUZZY TRANSPORTATION AND INVENTORY INTEGRATED OPTIMIZATION PROBLEM BASED-ON FUZZY CONDITIONS WITHOUT SHORTAGES

作　　者：雷邦军[1] 钟波[1] 

机构地区：[1]重庆大学数理学院,重庆400044

出　　处：《北京工商大学学报（自然科学版）》2008年第6期63-67,共5页Journal of Beijing Technology and Business University:Natural Science Edition

基　　金：国家自然科学基金资助项目(60574073)

摘　　要：研究了模糊条件下两级供应链系统的库存与运输整合优化问题,在供销双方库存成本、订购成本和销售商的年需求量均为独立模糊变量且均不允许缺货的条件下,建立了库存与运输整合费用的模糊期望最优化模型,设计了整合策略中供应商和销售商的最佳订货量(Qw,Q1,Q2,…,Qm)的求解算法.最后通过算例说明模型的可行性和有效性.This paper considered the two-echelon distribution system containing a single supplier and a number of retailers. The author assumed that the supplier and retailers perform periodic review and order strategies without shortages, and the stock cost of each unit quantity, the order cost of each cycle and demanding rate at the retailer are characterized as independent fuzzy variables. Based on an expected value criterion, it constructed a fuzzy expected value model, one property of the model is analyzed and proved in this paper, and it also designed an algorithm to find the optimal solution. Numerical results showed that the feasibility and validity of the model are good as well.

关 键 词：库存与运输系统 整合优化 模糊期望 

分 类 号：C931.1[经济管理—管理学]