A hybrid simulation optimization method for production planning of dedicated remanufacturing

被引：69

作者：

Li, Jianzhi ^{[1
]}

Gonzalez, Miguel ^{[1
]}

Zhu, Yun ^{[1
]}

机构：

[1] Univ Texas Pan Amer, Edinburg, TX 78539 USA

来源：

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | 2009年 / 117卷 / 02期

基金：

美国国家科学基金会;

关键词：

Remanufacturing; Optimization with simulation; Genetic algorithm; Fractional factorial design; INVENTORY CONTROL; MANUFACTURING SYSTEMS; GENETIC ALGORITHM; UNCERTAINTY; RECOVERY; MANAGEMENT; NETWORK; POLICIES; RETURNS; DESIGN;

D O I：

10.1016/j.ijpe.2008.11.005

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a hybrid cell evaluated genetic algorithm (CEGA) for optimization of the dedicated remanufacturing system with simulation. The paper first summarizes the special characteristics and problems of the dedicated remanufacturing. The paper then proposes a simulation model with a prioritized stochastic batch arrival mechanism, considering factors that affect the total profit. Based on the simulation model, the CEGA algorithm is developed to optimize the production planning and control policies for dedicated remanufacturing. A case study is provided based on the remanufacturing facility located at Austin, USA Published by Elsevier B.V.

引用

页码：286 / 301

页数：16

共 42 条

[1] Optimization with simulation and multiobjective analysis in industrial decision-making:: A case study [J].