Fuzzy multi-objective sustainable and green closed-loop supply chain network design

被引:212
|
作者
Soleimani, Hamed [1 ]
Govindan, Kannan [2 ]
Saghafi, Hamid [1 ]
Jafari, Hamid [3 ]
机构
[1] Islamic Azad Univ, Qazvin Branch, Fac Ind & Mech Engn, Qazvin, Iran
[2] Univ Southern Denmark, Dept Technol & Innovat, Ctr Engn Operat Management, DK-5230 Odense M, Denmark
[3] Jonkoping Univ, Dept Ind Engn & Management, Jonkoping, Sweden
关键词
Closed-loop supply chain; Sustainable supply chain; Fuzzy logic; Multi-objective optimization; Genetic algorithm; GENETIC ALGORITHM APPROACH; REVERSE LOGISTICS; MODEL; OPTIMIZATION; LOCATION; DEMAND;
D O I
10.1016/j.cie.2017.04.038
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This article addresses a design problem of a closed loop supply chain, including suppliers, manufacturers, distribution centers, customers, warehouse centers, return centers, and recycling centers. The problem entails three choices regarding recycling, namely, product recycling, and components recycling raw material recycling. Modeling this chain is carried out by accounting for environmental considerations, total profit optimization, and reduction of lost working days due to occupational accidents, we well as maximizing responsiveness to customer demand. In order to solve the model, genetic algorithm has been used and multiple scenarios with different aspects have been studied. Solving this model provides decisions regarding opening or closing of each of the components of the network and the optimal product flow among them. The results prove the feasibility of the presented model and the applicability of the developed solution methodology. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:191 / 203
页数:13
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