Volume 31, Issue 2 (IJIEPR 2020)                   IJIEPR 2020, 31(2): 217-229 | Back to browse issues page


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Babagolzadeh R, Rezaeian J, Valipour Khatir M. Multi-objective fuzzy programming model to design a sustainable supply chain network considering disruption. IJIEPR. 2020; 31 (2) :217-229
URL: http://ijiepr.iust.ac.ir/article-1-1051-en.html
1- Mazandaran University of Science and Technology
2- Mazandaran University of Science and Technology , j.rezaeian@ustmb.ac.ir
3- Mazandaran University
Abstract:   (604 Views)
Sustainable supply chain networks have attracted considerable attention in recent years as a means of dealing with a broad range of environmental and social issues. This paper reports a multi-objective mixed-integer linear programming (MILP) model for use in the design of a sustainable closed loop supply chain network under uncertain conditions. The proposed model aims to minimize total cost, optimize environmental impacts of establishment of facilities, processing and transportation between each level as well as social impacts including customer satisfaction. Due to changes in business environment the uncertainty existed in the research problem, in this paper the chance constrained fuzzy programming approach applied to cope with uncertainties in parameter of the proposed model. Then the proposed multi-objective model solves as single-objective model using LP-metric method.
Full-Text [PDF 1010 kb]   (205 Downloads)    
Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2020/04/14 | Accepted: 2020/04/18 | Published: 2020/06/27

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