Today, as organizations improve their ability to compete globally, we see that competition innovation and creativity are now shifting to the supply chain. Increased competitive advantage can be achieved only if all supply chain stakeholders are coordinated and integrated with one another. This integration must be created among suppliers, intermediaries, third-party providers, and customers. In addition to the forward supply chain, reverse logistics must also be considered. Amid business complexities, smart organizations are reusing, recycling, and remanufacturing using third-party reverse logistics providers (3PRLP), which affect the performance of the entire organization. The selection and evaluation of reverse logistics providers is important to improving outcomes. Several attributes should be used to select and evaluate 3PRLP. In this paper, an analytic network process (ANP) is used to investigate feedback and relationships among attributes and to identify the most important attributes in the selection and evaluation of 3PRLP. Then a multi-criteria group decision-making is upgraded in uncertainty conditions to guide the process of selecting the best 3PRLP. To deal with uncertainty, intuitionistic fuzzy set (IFS) and grey relation analysis (GRA) will be used.
کلید واژگان :Competitive advantage; Third-party reverse logistic provider (3PRLP); Multi- criteria decision making; Intuitionistic fuzzy set; Grey relation analysis
ارزش ریالی : 600000 ریال
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