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Integrated system for maintenance and safety management through FMECA principles and fuzzy inference engine

Author

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  • Matteo Mario Savino
  • Alessandro Brun
  • Carlo Riccio

Abstract

Failure mode effects and criticality analysis (FMECA) is a widely used technique to improve products and processes safety and reliability in different contexts, such as automotive, aviation, computer science, etc. FMECA approach is based on a qualitative/quantitative analysis of a system (product or process) and its components in order to identify the most critical elements for system operability and safety through the evaluation of failure mode causes and effects. In the present work we propose a modified FMECA methodology in which the criticality evaluation is made considering both production performances and users/workers safety. The approach uses a fuzzy inference engine to define certain key indexes related both to production performance and safety level. It merges the classic FMECA criticality analysis approach with the risk evaluation into a unified procedure. The proposed method is applied to a real case concerning the production of braking systems for high speed trains. [Received 30 October 2009; Revised 22 March 2010; Accepted 22 March 2010]

Suggested Citation

  • Matteo Mario Savino & Alessandro Brun & Carlo Riccio, 2011. "Integrated system for maintenance and safety management through FMECA principles and fuzzy inference engine," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 5(2), pages 132-169.
    • Handle: RePEc:ids:eujine:v:5:y:2011:i:2:p:132-169
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    Citations

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    Cited by:

    1. Fatima Bennouna & Driss Amegouz & Aicha Seklouli-Sekhari, 2014. "A System of Quality, Safety, and Environment Integration based on QFD and Risk Approaches," Post-Print hal-04170883, HAL.
    2. Sara Antomarioni & Marjorie Maria Bellinello & Maurizio Bevilacqua & Filippo Emanuele Ciarapica & Renan Favarão da Silva & Gilberto Francisco Martha de Souza, 2020. "A Data-Driven Approach to Extend Failure Analysis: A Framework Development and a Case Study on a Hydroelectric Power Plant," Energies, MDPI, vol. 13(23), pages 1-16, December.

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