文献类型：会议论文

英文题名：Optimization for Production/Remanufacturing System with Return Rate Dependent on Price and Quality under Uncertainty

作者：Gong, Yanxue[1];Huang, Dao[1,2];Tian, Yu;Sun, Shaochao[1];Peng, Yigong[1]

机构：[1]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Shanghai Maritime Univ, Coll Logist Engn, Shanghai 200000, Peoples R China

会议论文集：International Workshop on Computer Science for Environmental Engineering and EcoInformatics (CSEEE)

会议日期：JUL 29-31, 2011

会议地点：Kunming, PEOPLES R CHINA

语种：英文

外文关键词：remanufacturing; fuzzy simulation; Mamdani fuzzy rule; PSO

摘要：In this paper, an integrated production/remanufacturing system is investigated, in which the relationship of return rate, price and acceptable quality follows Mamdani fuzzy rule based on the experience. The uncertainty of customer demand is also considered and supposed to be a type of triangular fuzzy variable. Then, a fuzzy chance programming is developed to optimize the total cost at a confidence level by determining the decision parameters of purchasing price and acceptable quality and intermediate parameter of return rate for returns. An approximation algorithm using particle swarm optimization (PSO) and fuzzy simulation is then presented to compute the optimization problem effectively. Finally, the experiment result shows the efficiency of the proposed approach.