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The Challenge of Deploying Failure Modes and Effects Analysis in Complex System Applications—Quantification and Analysis

Author

Listed:
  • Mansoor Alruqi

    (Department of Mechanical Engineering, College of Engineering, Shaqra University, Ar Riyadh 11911, Saudi Arabia)

  • Martin Baumers

    (Faculty of Engineering, Jubilee Campus, University of Nottingham, Nottingham NG8 1BB, UK)

  • David T. Branson

    (Faculty of Engineering, Jubilee Campus, University of Nottingham, Nottingham NG8 1BB, UK)

  • Sourafel Girma

    (School of Economics, University of Nottingham, University Park, Nottingham NG7 2RD, UK)

Abstract

Failure Modes and Effects Analysis (FMEA) is a systematic approach for evaluating failure modes in a system. However, its current implementation in complex systems is marred by high resource requirements, a lack of available data and difficulty of deployment. Consequently, attempts to integrate FMEA with other systematic methodologies have yielded unclear outcomes. Therefore, this paper used a score-based metric and applied the ordered probit model to empirically identify challenges associated with deploying FMEA and these attempts’ impact on FMEA applications as well as the influence of other organisational parameters. Our findings reveal that Fault Tree Analysis and Axiomatic Design methodologies reduced the perceived level of challenge significantly in the investigated sample. Our research outcome is of value to the practitioner community by showing that the level of challenge associated with FMEA deployment appears independent of organisational parameters, and that such a co-adoption of complementary methodologies in complex systems can reduce this challenge.

Suggested Citation

  • Mansoor Alruqi & Martin Baumers & David T. Branson & Sourafel Girma, 2022. "The Challenge of Deploying Failure Modes and Effects Analysis in Complex System Applications—Quantification and Analysis," Sustainability, MDPI, vol. 14(3), pages 1-23, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1397-:d:734660
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