An Integrated Multicriteria Decision-Making Approach for Collection Modes Selection in Remanufacturing Reverse Logistics

Xumei Zhang, Zhizhao Li, Yan Wang, Wei Yan

Research output: Contribution to journalArticlepeer-review

Abstract

Reverse logistics (RL) is closely related to remanufacturing and could have a profound impact on the remanufacturing industry. Different from sustainable development which is focused on economy, environment and society, circular economy (CE) puts forward more requirements on the circularity and resource efficiency of manufacturing industry. In order to select the best reverse logistics provider for remanufacturing, a multicriteria decision-making (MCDM) method considering the circular economy is proposed. In this article, a circularity dimension is included in the evaluation criteria. Then, analytic hierarchy process (AHP) is used to calculate the global weights of each criterion, which are used as the parameters in selecting RL providers. Finally, technique for order of preference by similarity to ideal solution (TOPSIS) is applied to rank reverse logistics providers with three different modes. A medium-sized engine manufacturer in China is taken as a case study to validate the applicability and effectiveness of the proposed framework.

Original languageEnglish
Article number631
JournalProcesses
Volume9
Issue number4
DOIs
Publication statusPublished - 4 Apr 2021

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Funding Information: Acknowledgments: The authors acknowledge the support and inspiration of Wuhan University of Science and Technology and the University of Brighton. Funding Information: This research was funded by the National Natural Science Foundation of China: Energy Efficiency Integrated Optimization of CNC Machining System Driven by Multi-source and On-line Energy Consumption Data Hybrid, grant number [51975432].

Keywords

  • Circular economy
  • Collection modes
  • Multicriteria decision-making
  • Remanufacturing
  • Reverse logistics

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