Identification and Prioritizing the Solutions of Reverse Logistics Applying Using a Hybrid Approach of Fuzzy AHP and Fuzzy TOPSIS (Case Study: Isfahan's Mobarakeh Steel Company)

Reverse logistics is one of the most challenging issues in the supply chain. Proper implementation of reverse logistics in organizations increases revenue, reduces operating costs, reduces costs of faulty products and reduces environmental pollution. There are barriers in implementation of reverse logistics in organizations that these barriers challenge managers and policy makers of the industry. This study aimed to identify and prioritize the solutions of reverse logistics applying to overcome its barriers in Isfahan’s Mobarakeh Steel Company. The study population will comprise 30 reverse logistics experts of Mobarakeh Steel Company. To collect data, while using the literature in this area, interviews with experts with carried in Mobarakeh Steel Company, and finally 51 barriers (sub criteria) were recognized in ten categories: managerial, strategic, organizational, economic, legal, technological, infrastructure, related to knowledge, related to policy and related to market and 30 reverse logistics solution for the reception was also identified in the company. Also, the questionnaire was used to compare pairs. Then, a framework based on fuzzy AHP is used to weighting barriers and fuzzy TOPSIS is used to prioritize the solutions. The results indicate that the solution to "allocate adequate financial" in the first place and then the solutions "aligned policies and processes" "and "perceive recycling products as perishable goods" ranked second and third respectively. Solution "enforce environmental legislation, regulations and directives" is in the last place.