A new multi objective optimization model for designing a green supply chain network under uncertainty

Recently, researchers have focused on how to minimize the negative effects of industrial activities on environment. Consequently, they work on mathematical models, which minimize the environmental issues as well as optimizing the costs. In the field of supply chain network design, most managers cons...

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Bibliographic Details
Published in:International journal of industrial engineering computations 2015-01, Vol.6 (1), p.15-32
Main Authors: Saffar, Mohammad Mahdi, Shakouri G., Hamed, Razmi, Jafar
Format: Article
Language:English
Subjects:
Fuzzy
Fuzzy logic
Fuzzy set theory
Mathematical models
Networks
Optimization
Programming
Supply chains
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Summary:Recently, researchers have focused on how to minimize the negative effects of industrial activities on environment. Consequently, they work on mathematical models, which minimize the environmental issues as well as optimizing the costs. In the field of supply chain network design, most managers consider economic and environmental issues, simultaneously. This article introduces a bi-objective supply chain network design, which uses fuzzy programming to obtain the capability of resisting uncertain conditions. The design considers production, recovery, and distribution centers. The advantage of using this model includes the optimal facilities, locating them and assigning the optimal facilities to them. It also chooses the type and the number of technologies, which must be bought. The fuzzy programming converts the multi objective model to an auxiliary crisp model by Jimenez approach and solves it with nstraint. For solving large size problems, the Multi Objective Differential Evolutionary algorithm is applied.
ISSN:1923-2926
1923-2934
DOI:10.5267/j.ijiec.2014.10.001