Abstract
The evaluation and selection of product recovery channels is a key decision issue in closed-loop supply chain management. Although existing research does not take into account the presence of inaccurate information and the influence of the decision maker’s psychological state during the selection of recycling channels, we study the issue of recycling channel selection under the consideration of inaccurate information and the influence of the decision maker’s psychological state. (1) First, we establish a new evaluation index system for recycling channels for policy makers. (2) We propose a TODIM (an acronym in Portuguese of Interactive and Multi-criteria Decision Making) method based on fuzzy evaluation and Shapley index for decision makers to imitate the psychological behavior characteristics of FMEA (Failure mode and effect analysis) team members. It can also be used to estimate the risk priority of several failure modes. The interval type 2 fuzzy is used to describe the uncertainty in the risk assessment process. (3) Finally, we obtain the practical significance of the method proposed in this paper through case studies, sensitivity analysis and comparative analysis of traditional methods. We also find the key impact factors in the choice of recycling channels.
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