Fuzzy Best-Worst Method and Interpretive Structural Modelling for Complex System Analysis: Enablers Analysis for Aviation Maintenance Safety

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

This study aims at employing the multi-criteria decision analysis method for analyzing the enablers of aviation maintenance safety, the twelve enablers of aviation maintenance safety in human, facilities, institution and management aspects were firstly summarized; subsequently, the fuzzy best-worst network method was used to prioritize these enablers according to their relative importance, and the significantly important and moderately important enablers can be identified; then, eight strategic measures were proposed according to the relative importance of the enablers; finally, the interpretive structural modelling was employed to investigate the complex relationships among these eight strategic measures, and drafting appropriate plan and schedule, training on aviation maintenance, education on safety maintenance awareness, perfect the regulation and standard system, and establishing complete safety management system should be adopted by the decision-makers/stakeholders to improve the aviation maintenance safety.
Original languageEnglish
Title of host publicationAdvanced Operations Management for Complex Systems Analysis
PublisherSpringer
Pages57-78
Number of pages22
ISBN (Electronic)978-3-030-45418-0
ISBN (Print)978-3-030-45417-3
DOIs
Publication statusPublished - 22 Apr 2020

Publication series

NameSpringerBriefs in Applied Sciences and Technology
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

ASJC Scopus subject areas

  • Biotechnology
  • Chemical Engineering(all)
  • Mathematics(all)
  • Materials Science(all)
  • Energy Engineering and Power Technology
  • Engineering(all)

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