Due to an increasing demand for green products and also pressures from customers and other players along thesupply chain, which now pay more attention to environmental awareness and sustainable management, manycompanies especially in the electronics industry have begun to realize the importance of applying green supplychain management concepts into their activities; reverse logistics (RL) practice is one of the important strategiesto provide efficient resource utilization and minimize waste from end of life (EOL) products by following leg-islation and green concepts. But recently reverse logistics practices are faced with some barriers which make theimplementation of reverse logistics difficult and unsuccessful. To increase efficiency in reverse logistics adap-tation of the electronics industry, companies need to understand and consider the priorities of both barriers andsolutions for developing policies and strategies to overcome these barriers. Therefore, this study focused on theclassification of reverse logistics barriers and ranking of both barriers and solutions of reverse logistics im-plementation in the electronics industry. This paper proposes a methodology based on fuzzy analytical hierarchyprocess (Fuzzy AHP) and fuzzy technique for order performance by similarity to ideal solution (Fuzzy TOPSIS) inwhich fuzzy AHP is applied to get the weights of each barrier by using pairwise comparison, and fuzzy TOPSIS isapplied for thefinal ranking of the solutions of reverse logistics implementation. The case of Thailand’s elec-tronics industry is used in the proposed method. To illustrate the robustness of the method, sensitivity analysis isused in this study.
