Random fuzzy EOQ model with imperfect quality items

被引：0
|
作者：
Xiaobin Wang
Wansheng Tang
Ruiquing Zhao
机构：
[1] Tianjin University,Institute of Systems Engineering
[2] Shandong University of Finance,School of Computer and Information Engineering
来源：
Fuzzy Optimization and Decision Making | 2007年 / 6卷
关键词：
Inventory; Fuzzy variable; Random fuzzy variable; PSO algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper investigates an economic order quantity (EOQ) problem with imperfect quality items, where the percentage of imperfect quality items in each lot is characterized as a random fuzzy variable while the setup cost per lot, the holding cost of each unit item per day, and the inspection cost of each unit item are characterized as fuzzy variables, respectively. In order to maximize the expected long-run average profit, a random fuzzy EOQ model is constructed. Since it is almost impossible to find an analytic method to solve the proposed model, a particle swarm optimization (PSO) algorithm based on the random fuzzy simulation is designed. Finally, the effectiveness of the designed algorithm is illustrated by a numerical example.
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页码：139 / 153
页数：14
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