Analytic network process in recovery mode of the end-of-life vehicles selection: A case study in an automotive industry

In the light of literature, the paper analyzed the current situation and found the existed problem. Based on the above discussion, the paper put forward the strengths and weaknesses of 3 recovery modes of end-of-life vehicles, which is M, TP and MP, and then focused on the selection of end-of-life vehicles recovery modes for automotive manufacturers. The paper established evaluation index system and models for the selection of end-of-life vehicles recovery modes from 4 dimensions (finance, business procedure, learning and innovation, customer) by analytic network process (ANP) approach. Finally, the proposed approach is validated by one numerical example and gets a satisfactory result. It provides a new way for automotive manufacturers to select recovery modes in reverse logistics.