Journal
HUMAN AND ECOLOGICAL RISK ASSESSMENT
Volume 18, Issue 5, Pages 1120-1151Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10807039.2012.707940
Keywords
green supply chain; greenhouse gas emission; multi-objective optimization; AHP; fuzzy AHP; fuzzy TOPSIS
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Funding
- Selcuk University Scientific Research Project Fund (BAP)
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Among the leading environmental risks, global climate alteration has become one of the most important controversial issues. Greenhouse gas emissions (CO2, methane, etc.) and air pollution have motivated a need to develop and improve environmental management strategies. As a consequence, environmental sanctions are forcing commercial enterprises to re-consider and re-design supply chain processes in a green way. This article provides a multi-objective model to design a closed-loop supply chain (CLSC) network in a green framework. Our first and second objectives are to minimize all the transportation costs for the supply chain's forward and reverse logistics; the third objective is to minimize total CO2 emissions; the fourth objective is to encourage customers to use recyclable materials as an environmental practice. To provide more realistic modeling by treating the uncertainty in decision-makers' objectives, fuzzy modeling is used in this study. The model is explained and tested via fulfilling a numerical example. In scenario analyses, analytic hierarchy process (AHP), fuzzy AHP (F-AHP), and fuzzy TOPSIS (F-TOPSIS) approaches were applied and compared to evaluate different objectives to guide decision-makers.
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