An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment

Abstract

Abstract:In uncertain environment, it is very difficult to optimize both cost and performance in complex reverse logistics network. This paper develops an integrated strategy to solve the cost optimization problem in reverse logistics network. First, the integrated scheme is based on the fuzzy AHP, where the cost coefficient and the demand quantities are modeled as fuzzy numbers to measure different uncertain factors. Second, the linear programming is introduced for cost optimization to calculate the operational objective function of the reverse logistics network. Third, some experiments are made to verify the proposed model. According to different uncertain factors, the optimal cost strategy can be constructed for uncertain use demand. Last, some interesting conclusions are drawn on the proposed method for decision makers to optimize the cost of the reverse logistics network, and future work direction is also provided.

Analyzing the Barriers to Reverse Logistics (RL) Implementation: A Hybrid Model Based on IF-DEMATEL-EDAS

“…As expected, EDAS has been combined with several other MCDM methods to proffer solutions to different problems [77][78][79][80]. The EDAS method is notably effective to assess MCDM problems especially in case of conflicting criteria, such as in reverse logistics barriers and is based on two measures, i.e., positive and negative distances from the average solutions [74,76,81]. Indeed, EDAS is highly desirable due to its fewer and simple computational steps and also its computational efficiency in determining the ranking of system criteria based on appraisal scores [82][83][84].…”

“…On the other hand, the EDAS method is based on two specific measures namely PDA and NDA which signify the difference between each solution (option) and the average solution [76,77]. Likewise, past published studies laud the superior benefits of EDAS in the rating of alternatives with regards to certain system criteria in the supply chain domain [77][78][79][80][81][82][83][84][85][86]. Thus, due to the many statistical benefits of IF-DEMATEL and EDAS as evidenced by their successful application in the extant literature, it becomes essential that we propose a hybrid model based on IF-DEMATEL and EDAS in the current study.…”