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Fuzzy Multi Objective Optimization of Green Supply Chain Network
(ATLANTIS PRESS, 2011) Paksoy, Turan; Pehlivan, Nimel Yapici; Ozceylan, Eren
Because of the leading environmental disasters, global climate alteration has become one of the most important controversial issues. The greenhouse gas emissions (CO2, methane, etc.) and air pollution increase attention to develop and improve environmental strategies. Thus, environmental sanctions are forcing enterprises to re-consider and re-design supply chain processes in a green way. This paper provides a multi objective model to design a closed-loop supply chain (CLSC) network in a green frame. Our first and second objectives are minimizing the all transportation costs for forward and reverse logistics; third one is minimizing total CO2 emissions; fourth one is encouraging the customers to use recyclable materials as an environmental performance viewpoint. To provide a more realistic modeling by treating the uncertainty in decision maker's objectives, fuzzy modeling is approach 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 and fuzzy TOPSIS are applied and compared to evaluate different objectives.