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Development of a risk-based maintenance decision making approach for automotive production line
Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.ORCID-id: 0000-0002-7474-2723
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2019 (Engelska)Ingår i: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348Artikel i tidskrift (Refereegranskat) Epub ahead of print
Abstract [en]

Automotive industries require effective and reliable maintenance strategies to ensure high levels of availability and safety. Risk-based maintenance approach is a useful tool for maintenance decision making with the aim of reducing the overall risk in operating activities. In this paper, a Failure Mode and Effect Analysis (FMEA) model as one of the risk assessment techniques is developed with subjective information derived from domain experts. To overcome the drawbacks of traditional FMEA for risk priority number (RPN) estimation, a linguistic fuzzy set theory, through effective decision attributes in complex automotive equipment is conducted. The main attributes of this approach include the effect of experts’ traits, scales variation, using various membership functions and defuzzification algorithms on reliable Fuzzy-RPN (FRPN) estimation. The result of the proposed model revealed that altering membership functions and defuzzification algorithms had no significant effect on the FRPN estimation, but their values are highly affected by the number of scales. The sensitivity analysis showed that experts’ traits have no sensible impact on experts’ opinion for FRPN estimation, while the detectability index has more impact on FRPN variation. The result of risk classification number showed that the maintenance decision making could be included for the failure modes with the highest RPN values as a priority, which it would be useful to achieve the high level of availability and safety.

Ort, förlag, år, upplaga, sidor
Springer, 2019.
Nyckelord [en]
Automotive industry, Fuzzy set theory, Maintenance decision making, RPN value, Sensitivity analysis
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-77162DOI: 10.1007/s13198-019-00927-1OAI: oai:DiVA.org:ltu-77162DiVA, id: diva2:1377761
Tillgänglig från: 2019-12-12 Skapad: 2019-12-12 Senast uppdaterad: 2019-12-12

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