Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry

被引：17

作者：

Attari, Mandi Yousefi Nejad ^{[1
]}

Torkayesh, Ali Ebadi ^{[2
]}

机构：

[1] Islamic Azad Univ, Bonab Branch, Dept Ind Engn, Bonab, Iran

[2] Sabanci Univ, Fac Engn & Nat Sci, Istanbul, Turkey

来源：

OPERATIONS RESEARCH PERSPECTIVES | 2018年 / 5卷

关键词：

Supply chain management; Benders decomposition; Iranian mine industry; epsilon-constraint method;

D O I：

10.1016/j.orp.2018.11.002

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

This paper attempts to design a three-echelon supply chain network for mine industry considering suppliers, manufacturing centers and distributors with different kinds of vehicles. A multi-objective mixed integer programming model is proposed to minimize transportation costs, shortage costs, purchase costs, production costs and CO2 emissions of vehicles with fuzzy demand values. epsilon-constraint method is used in order to convert multiple objective functions to a single objective function. Benders decomposition algorithm is applied to solve the model under three demand-based scenarios. A case study is done on Iranian mine industry to present the significance and applicability of the proposed model in a real-life case problem as well as the efficiency of Benders decomposition.

引用

页码：371 / 382

页数：12

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