Paksoy, TuranYapıcı Pehlivan, NimetÖzceylan, Eren2020-03-262020-03-262012Paksoy, T., Yapıcı Pehlivan, N., Özceylan, E., (2012). Fuzzy Multi-Objective Optimization of a Green Supply Chain Network with Risk Management that Includes Environmental Hazards. Human and Ecological Risk Assessment, 18 (5), 1120-1151. Doı: 10.1080/10807039.2012.7079401080-7039https://dx.doi.org/10.1080/10807039.2012.707940https://hdl.handle.net/20.500.12395/28083Among 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.en10.1080/10807039.2012.707940info:eu-repo/semantics/openAccessgreen supply chaingreenhouse gas emissionmulti-objective optimizationAHPfuzzy AHPfuzzy TOPSISArticle18511201151Q1WOS:000309274700011Q3