Enterprises are challenged to integrate environmental standards into their business policies to maintain their competitiveness. Management research area, so-called reverse logistics, has evolved to assist in recognizing potential benefits and overcoming challenges associated with enterprise system. Determining the most favorable reverse manufacturing alternative arriving to collection centers has always been a key strategic consideration. However, the nature of these decisions usually is multidimensional, interdisciplinary, complex, and unstructured. Designing a decision making model for the same requires quantitative and qualitative evaluation based on criteria such as cost/time, legislative factors, environmental impact, quality, market etc. Performance must be considered on the basis of these criteria to determine a suitable reverse manufacturing option depending on the expert opinion in this domain. In this paper, we propose a multiple criteria decision-making (MCDM) model based on fuzzyset theory. Proposed model can help in designing effective and efficient return policy depending on the various criteria. Further companies can use this analysis as strategic decision making tool to develop fresh reprocessing facilities or efficiently use the already exiting facility. This model can also act as a strategic decision support tool by using computer based implementation. Finally, an example is illustrated to highlight the procedural implementation of proposed model. This paper makes an attempt to bring fuzzy based multi criteria decision making and reverse logistics together as a well suited as a group decision support tool for
alternative selections.
Fuzzy, Alternative Selection, Supply chain management, MCDM
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