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Information Journal Paper

Title

A bi-objective facility location model in a green supply chain network

Pages

  235-263

Abstract

 Environmental concerns have spurred an interest in studying Green supply chain. Nowadays, governmental and non-governmental organizations consider environmental management as a strategic requirement having numerous benefits. Therefore, they effort to increase customers' satisfaction and market share considering external factors like environmental consequences in addition to internal factors. In this paper, a bi-objective mixed integer programming model is developed to identify the optimal Location for manufacturers and disassembly sites in a Green supply chain network designed to address the role of the reliability (failures and operating) of facilities and vehicles to ensure effective stream among supply chain network, the objective functions are defined as total cost minimization, and total co2 emissions minimization. Besides, uncertainties on the network design are investigated through two-stage Stochastic programming, with respect to the fact that the model is non-linear and bi-objective, at first, an approach is presented to linearize it and then the proposed bi-objective mathematical model is solved as a single-objective one by compromise programming method. The effectiveness of the proposed model is demonstrated by using of a numerical example derived from a real case.

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    APA: Copy

    Derikvand, Hadis, & Hajimolana, Seyed Mohammad. (2019). A bi-objective facility location model in a green supply chain network. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 16(51 ), 235-263. SID. https://sid.ir/paper/213251/en

    Vancouver: Copy

    Derikvand Hadis, Hajimolana Seyed Mohammad. A bi-objective facility location model in a green supply chain network. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2019;16(51 ):235-263. Available from: https://sid.ir/paper/213251/en

    IEEE: Copy

    Hadis Derikvand, and Seyed Mohammad Hajimolana, “A bi-objective facility location model in a green supply chain network,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 16, no. 51 , pp. 235–263, 2019, [Online]. Available: https://sid.ir/paper/213251/en

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