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

被引:14
作者
Bukowski, Lech [1 ]
Werbinska-Wojciechowska, Sylwia [2 ]
机构
[1] WSB Univ, Ul Zygmunta Cieplaka 1c, PL-41300 Dabrowa Gomicza, Poland
[2] Wroclaw Univ Sci & Technol, Fac Mech Engn, Dept Operat & Maintenance Tech Syst, Ul Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland
来源
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY | 2021年 / 23卷 / 02期
关键词
maintenance; system resilience; maintenance capability; fuzzy logic; uncertainty; RELIABILITY-ANALYSIS; AGGREGATION; BARRIERS; SYSTEMS; SAFETY; MODELS; TOPSIS;
D O I
10.17531/ein.2021.2.9
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:294 / 307
页数:14
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