A carbon footprint based reverse logistics network design model

被引：185

作者：

Kannan, Devika ^{[1
]}

Diabat, Ali ^{[2
]}

Alrefaei, Mahmoud ^{[3
]}

Govindan, Kannan ^{[4
]}

Yong, Geng ^{[5
]}

机构：

[1] Indian Inst Ind Engn, Navi Mumbai, India

[2] Masdar Inst Sci & Technol, Abu Dhabi, U Arab Emirates

[3] Jordan Univ Sci & Technol, Dept Math & Stat, Irbid 22110, Jordan

[4] Univ So Denmark, Dept Econ & Business, Odense, Denmark

[5] Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Liaoning Provin, Peoples R China

来源：

RESOURCES CONSERVATION AND RECYCLING | 2012年 / 67卷

关键词：

Carbon footprint; Reverse logistics; Greenhouse emissions; Case study; SUPPLY CHAIN; INVENTORY MANAGEMENT; GENETIC ALGORITHM; RECOVERY; ISSUES; CLASSIFICATION; SYSTEM;

D O I：

10.1016/j.resconrec.2012.03.005

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Due to the environmental legislation and regulations, manufacturing firms have realized the importance of adopting environmental friendly supply chain management (SCM) practices. In this paper, a mixed integer linear model is developed for a carbon footprint based reverse logistics network design. The proposed model aims at minimizing climate change (specifically, the CO2 footprint), and it employs reverse logistics activities to recover used products, hence combining the location/transportation decision problem. The proposed model is validated by examining a case study from the plastic sector. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：75 / 79

页数：5

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