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

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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
Multi-objective fuzzy programming model to design a sustainable supply chain network considering disruption
Roza Babagolzadeh1 , Javad Rezaeian 2, Mohammad Valipour Khatir3
1- Mazandaran University of Science and Technology
2- Mazandaran University of Science and Technology , j.rezaeian@ustmb.ac.ir
3- Mazandaran University
Abstract:   (3540 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.
Keywords: Supply chain management, Sustainable supply chain, Closed-loop supply chain, Fuzzy optimization, Multi objective programming
Full-Text [PDF 1010 kb]   (2892 Downloads)    
Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2020/04/14 | Accepted: 2020/04/18 | Published: 2020/06/27
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.