A multi-objective optimization for green supply chain network design

被引：433

作者：

Wang, Fan ^{[1
]}

Lai, Xiaofan ^{[2
]}

Shi, Ning ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Sun Yat Sen Business Sch, Guangzhou 510275, Peoples R China

[2] Hong Kong Polytech Univ, Sch Business, Hong Kong, Hong Kong, Peoples R China

来源：

DECISION SUPPORT SYSTEMS | 2011年 / 51卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Green supply chain management; Network design; Multi-objective optimization; PROGRAMMING APPROACH; MODEL; MANAGEMENT;

D O I：

10.1016/j.dss.2010.11.020

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we study a supply chain network design problem with environmental concerns. We are interested in the environmental investments decisions in the design phase and propose a multi-objective optimization model that captures the trade-off between the total cost and the environment influence. We conduct a comprehensive set of numerical experiments. The results show that our model can be applied as an effective tool in the strategic planning for green supply chain. Meanwhile, the sensitivity analysis provides some interesting managerial insights for firms. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：262 / 269

页数：8

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