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.
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Ren, J. (2020). Fuzzy Best-Worst Method and Interpretive Structural Modelling for Complex System Analysis: Enablers Analysis for Aviation Maintenance Safety. In: Advanced Operations Management for Complex Systems Analysis. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-45418-0_4
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DOI: https://doi.org/10.1007/978-3-030-45418-0_4
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