A Fuzzy Synthesis Approach for Hierarchical Decision Analysis to Select Optimum Repair Technique

Nasser Amaitik*, Christopher Buckingham, Ming Zhang, Yuchun Xu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Selecting the best remanufacturing or repair strategy for engineering equipment/component is a complex task, partly due to the many factors affecting the decision as well as the high uncertainty associated with these factors. The challenge facing decision makers is to find an effective and reliable approach that supports their decisions regarding the best remanufacturing or repair technique that extends the service life of an equipment and keep it in operation from failures. This paper presents an innovative fuzzy-based approach for modelling the selection of optimum remanufacturing/repair technique for engineering equipment. The proposed fuzzy synthesis approach allows analysing hierarchical multi-criteria decision-making (MCDM) problems using a simplified and effective method for supporting the elicitation and processing of expert judgements. This approach is tested in a case study of selecting the optimum repair techniques for aero engine component and obtained good model performance in comparison with other alternative MCDM model, which shows the plausibility of applying the approach to domains that are based on human expertise.
Original languageEnglish
Pages (from-to)52-57
Number of pages6
JournalProcedia CIRP
Volume126
Early online date9 Oct 2024
DOIs
Publication statusPublished - 9 Oct 2024

Bibliographical note

Copyright © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0).

Keywords

  • Circular Economy
  • Fuzzy Numbers
  • Fuzzy Synthesis
  • Multi-Criteria Decision Making
  • Remanufacturing
  • Repair

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