A New Fuzzy Model for Evaluation and Selection of Recycling Technologies of Metal Components of End of Life Vehicles

The aim of this research is to propose a new fuzzy model to evaluate recycling technologies taking in account numerous criteria, as well as their relative importance. The relative importance of criteria and their values are modelled using the fuzzy set theory. Determining the criteria weights is presented as a fuzzy group decision-making problem. The rank of possible recycling technologies is obtained by applying modified fuzzy technique for order performance by similarity to ideal solution (FTOPSIS). A case study with real-life data which come from reverse supply chain existing in the Republic of Serbia is presented to illustrate the proposed method. In order to verify the proposed FTOPSIS, different approaches for defining fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS) are used. The presented solution enables the ranking of recycling technologies and provides base for successful improvement of reverse supply chain management.