A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return

被引：306

作者：

Amin, Saman Hassanzadeh ^{[1
]}

Zhang, Guoqing ^{[1
]}

机构：

[1] Univ Windsor, Dept Ind & Mfg Syst Engn, Windsor, ON N9B 3P4, Canada

来源：

APPLIED MATHEMATICAL MODELLING | 2013年 / 37卷 / 06期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Reverse logistics (RL); Closed-loop supply chain (CLSC); Mixed-integer linear programming (MILP); Multi-objective programming; Stochastic programming; REVERSE LOGISTICS NETWORK; QUANTITATIVE MODELS; GENETIC ALGORITHM; PRODUCT; DESIGN; CONFIGURATION; OPTIMIZATION; SELECTION;

D O I：

10.1016/j.apm.2012.09.039

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A closed-loop supply chain (CLSC) network consists of both forward and reverse supply chains. In this paper, a CLSC network is investigated which includes multiple plants, collection centres, demand markets, and products. To this aim, a mixed-integer linear programming model is proposed that minimizes the total cost. Besides, two test problems are examined. The model is extended to consider environmental factors by weighed sums and a-constraint methods. In addition, we investigate the impact of demand and return uncertainties on the network configuration by stochastic programming (scenario-based). Computational results show that the model can handle demand and return uncertainties, simultaneously. (C) 2012 Elsevier Inc. All rights reserved.

引用

页码：4165 / 4176

页数：12

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