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.
|Number of pages||6|
|Publication status||Published - 27 Jun 2018|
|Event||51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden|
Duration: 16 May 2018 → 18 May 2018
- Damage condition
- Demands matching
- Multiple Criteria Decision Making
- Remaining Service life
- Reverse Logistics
FingerprintDive into the research topics of 'A Demands-Matching Multi-Criteria Decision-Making Method for Reverse Logistics'. Together they form a unique fingerprint.
- School of Arch, Tech and Eng - Principal Lecturer
- Applied Data Analytics Research and Enterprise Group
- Advanced Engineering Centre