FUZZY EPQ INVENTORY MODELS WITH BACKORDER  

作　　者：Xiaobin WANG Wansheng TANG 

机构地区：[1]School of Computer and Information Engineering, Shandong University of Finance, Jinan 250014, China. [2]Institute of Systems Engineering, Tianjin University, Tianjin 300072, China.

出　　处：《Journal of Systems Science & Complexity》2009年第2期313-323,共11页系统科学与复杂性学报（英文版）

基　　金：supported by the National Natural Science Foundation of China under Grant No. 70471049

摘　　要：This paper considers the economic production quantity （EPQ） problem with backorder in which the setup cost, the holding cost and the backorder cost are characterized as fuzzy variables, respectively. Following expected value criterion and chance constrained criterion, a fuzzy expected value model （EVM） and a chance constrained programming （CCP） model are constructed. Then fuzzy simulations are employed to estimate the expected value of fuzzy variable and c^-level minimal average cost. In order to solve the CCP model, a particle swarm optimization （PSO） algorithm based on the fuzzy simulation is designed. Finally, the effectiveness of PSO algorithm based on the fuzzy simulation is illustrated by a numerical example.

关 键 词：Economic production quantity fuzzy simulation fuzzy variable INVENTORY PSO. 

分 类 号：F253.4[经济管理—国民经济] TH114[机械工程—机械设计及理论]