دانلود رایگان مقاله انگلیسی رویکرد AHP-TOPSIS فازی به اولویت بندی راه حل ها برای موانع لجستیک معکوس - الزویر 2018

ABSTRACT

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

6. Conclusion

Nowadays, many companies applied RL practices implementation into their business process due to the increasing of the environmental awareness and also for the sustainable of the business. But it is face with some barriers which make the implementation of RL practices unsuccessful. Hence, to solve these barriers need to use the appropriate solutions to overcome its barriers. In real situations, the decision makers cannot make decision due there being to a lot of solutions and it is so difficult to apply all of these solutions in the same time. Therefore, there is a need to ranking the solutions to solve the barriers of RL practices implementation. In this study presented the hybrid methods of fuzzy AHP and fuzzy TOPSIS to ranking solutions to solve berries for RL practices. Fuzzy AHP was used to get weight for RL barriers and fuzzy TOPSIS was used to get ranking of the solutions. In this study, through literature review and expert views 29 barriers and 14 solutions have been identified. The results of the study presented that top management awareness and support is the highest ranking value of solutions in this case study which Thailand electronics industry was used in the proposed framework. The ranking of solutions can be a guideline and support decision makers or top management to determine policy and strategies to solve RL practices barriers implementation. For the future research direction, this study can use other fuzzy multi-criteria decision making methods such as fuzzy VIKOR, fuzzy ANP and fuzzy ELETRE.