Using fuzzy logic to support maintenance decisions according to Resilience-Based Maintenance concept
The maintenance of technical systems is of particular importance in the era of growing competition and ever higher requirements in quality, reliability, and productivity of organizations’ functions and tasks. According to [5], maintenance for complex socio-technical systems can be defined as a combination of activities which ensures that physical assets continue to fulfill their intended tasks effectively (performing required functions), efficiently (at minimum use of resources), and safely (at a minimum human and environmental risk). Therefore, the main goals of the maintenance processes of technical systems are today considered to provide [42]: 1) an appropriate level of functionality of a technical facility, 2) declared durability of a facility, 3) security of a facility and its environment, and 4) effective use of available resources supporting basic processes. The achievement of these goals is possible thanks to an appropriately selected maintenance strategy 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. Highlights Abstract
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Using fuzzy logic to support maintenance decisions according to Resilience-Based Maintenance concept
Semantic Scholar · Engineering · 2021
Abstract
The maintenance of technical systems is of particular importance in the era of growing competition and ever higher requirements in quality, reliability, and productivity of organizations’ functions and tasks. According to [5], maintenance for complex socio-technical systems can be defined as a combination of activities which ensures that physical assets continue to fulfill their intended tasks effectively (performing required functions), efficiently (at minimum use of resources), and safely (at a minimum human and environmental risk). Therefore, the main goals of the maintenance processes of technical systems are today considered to provide [42]: 1) an appropriate level of functionality of a technical facility, 2) declared durability of a facility, 3) security of a facility and its environment, and 4) effective use of available resources supporting basic processes. The achievement of these goals is possible thanks to an appropriately selected maintenance strategy 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. Highlights Abstract