文献类型：期刊文献

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]; Tian, Yu[2]; Sun, Shaochao[1]; Peng, Yigong[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; [2] College of Logistics Engineering, Shanghai Maritime University, Shanghai 200000, China

年份：2011

卷号：158 CCIS

起止页码：166

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20112914164293)

语种：英文

外文关键词：Particle swarm optimization (PSO) - Approximation algorithms - Costs - Fuzzy inference

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. ? 2011 Springer-Verlag.