6533b7d0fe1ef96bd125b87b

RESEARCH PRODUCT

A combined multi-criteria approach to support FMECA analyses: A real-world case

Joaquín IzquierdoAntonella CertaConcetta Manuela La FataSilvia Carpitella

subject

EngineeringSafety-critical analysisSafety-critical analysiAHP0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologyFault (power engineering)Industrial and Manufacturing EngineeringSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringFTOPSISSensitivity (control systems)Safety Risk Reliability and QualityReliability (statistics)021103 operations researchbusiness.industryRank (computer programming)Reliability engineeringFailure mode effects and criticality analysisRanking020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessFailure mode and effects analysisFMECA

description

[EN] The paper proposes an approach that combines reliability analyses and multi-criteria decision methods to optimize maintenance activities of complex systems. A failure mode, effects, and criticality analysts (FMECA) is initially performed and the fuzzy TOPSIS (FTOPSIS) method is then applied to rank previously identified failure modes. For prioritization, failure modes are assessed against three evaluation criteria that differ from those traditionally involved in risk priority number (RPN) computation (i.e. severity, occurrence and detection). Two criteria refer to the maintenance management reflecting the operational time taken by the maintenance activity performed after the occurrence of a specific fault, and the way such an action is executed. The third criterion reflects the classical frequency of the occurrence of faults. To further develop previous research, the analytic hierarchy process (AHP) is herein applied to weight evaluation criteria and a group of experts is involved with aspects associated with the considered criteria. The approach is applied to a real-world case study, showing that the obtained results represent a significant driver in planning maintenance activities. To test the influence of criteria weights on ranking results, a sensitivity analysis is carried out by varying the vector of criteria weights obtained from the group decision process. (C) 2017 Elsevier Ltd. All rights reserved.

https://doi.org/10.1016/j.ress.2017.09.017