Multi-objective fuzzy programming model to design a sustainable supply chain network considering disruption
Publish place: 16th Iran International Industrial Engineering Conference
Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC16_281
تاریخ نمایه سازی: 12 مرداد 1399
Abstract:
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.
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Authors
roza Babagolzadeh
M.Sc. student, Department of industrial engineering, Mazandaran university of Science and Technology;
Javad Rezaeian
Associate professor of Industrial Engineering, Department of industrial engineering, Mazandaran university of Science and Technology;
mohammad valipour khatir
Assistant professor of Industrial Management, Department of Industrial Management, University of mazandaran