A Demands-Matching Multi-Criteria Decision-Making Method for Reverse Logistics

Han Wang, Zhigang Jiang, Yan Wang, Ying Liu, Fei Li, Wei Yan, Hua Zhang

Research output: Contribution to journalArticlepeer-review


A demand matching oriented Multi-Criteria Decision-Making method is presented to identify the best collection mode for used components. In this method, the damage condition and remaining service life are incorporated into the evaluation criteria of reuse mode, then a hybrid method (AHP-EW) integrating Analytic Hierarchy Process (AHP) and Entropy Weight (EW) is used to derive the criteria weights and the grey Multi-Attributive Border Approximation Area Comparison (MABAC) is adopted to rank the collection modes. Finally, a sensitivity analysis is used to test the stability of the method and a demands-matching method is proposed to validate the feasibility of the optimal alternative. The method is validated using the collection of used pressurizers as case study. The results of which show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1398-1403
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 27 Jun 2018
Event51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden
Duration: 16 May 201818 May 2018


  • Damage condition
  • Demands matching
  • Multiple Criteria Decision Making
  • Remaining Service life
  • Reverse Logistics


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