Using fuzzy logic to support maintenance decisions according to Resilience-Based Maintenance concept

• Autorzy: Bukowski Lech , Werbińska-Wojciechowska Sylwia

Identyfikatory

DOI

10.17531/ein.2021.2.9

• Języki publikacji: EN

Abstrakty

EN

Many authors have highlighted the importance of physical assets maintenance management in relation to resilience engineering, especially for systems operating under significant uncertainty. Thus, the authors presented a new approach to system maintenance based on resilience concept implementation. They introduced Maintenance Support Potentials (MSP) as a measure of an organization's maintenance support capacity. Moreover, based on the MSP definition, they developed a fuzzy-based organization's maintenance support potential level assessment method. The proposed approach takes into account two main MSP parameters – potential readiness level and process regency. It followed four main steps, including organization's MSP identification/evaluation, MSP weights assessment, Maintenance Support Capacity assessment, and final reasoning. A case study of a global manufacturer from the automotive industry is presented to illustrate the method's applicability. The authors also indicated further research directions to optimize the maintenance strategy based on Resilience-Based Maintenance concept.

Słowa kluczowe

EN

maintenance; system resilience; maintenance capability; fuzzy logic; uncertainty

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2021
• Tom: Vol. 23, no. 2
• Strony: 294--307
• Opis fizyczny: Bibliogr. 52 poz., rys., tab.

Twórcy

autor

Bukowski Lech

• WSB University, ul. Zygmunta Cieplaka 1c, 41-300 Dabrowa Gornicza, Poland

autor

Werbińska-Wojciechowska Sylwia

• Faculty of Mechanical Engineering, Department of Operation and Maintenance of Technical Systems, Wroclaw University of Science and Technology, ul. Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).