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dc.contributor.authorNouri Qarahassanlou, Ali
dc.contributor.authorRahimazar, Ali
dc.contributor.authorKhanzadeh, Dina
dc.date.accessioned2024-03-27T08:26:04Z
dc.date.available2024-03-27T08:26:04Z
dc.date.issued2024-03-12
dc.description.abstractPurpose - Resilience as a novel concept has attracted the most attention in the management of engineering systems. The main goal of engineering systems is production assurance and increasing customer satisfaction which depends on the suitable performance of mechanical equipment. “A resilient system is defined as a system that is resistant to disruption and failures and can recover itself and returns to the state before failure as soon as possible in the case of failure.” Estimate the value of the system’s resilience to increase its resilience by covering the weakness in the resilience indexes of the system.<p> <p>Design/methodology/approach - In this article, a suitable approach to estimating resilience in complex engineering systems management in the field of mining has been presented. Accordingly, indexes of reliability, maintainability, supportability, efficiency index of prognostics and health management of the system, and ultimately the organization resilience index, have been used to evaluate the system resilience.<p> <p>Findings - The results of applying this approach indicate the value of 80% resilience if the risk factor is considered and 98% if the mentioned factors are ignored. Also, the value of 58% resilience of this organization’s management group indicates the weakness of situational awareness and weakness in the vulnerable points of the organization.<p> <p>Originality/value - To evaluate the resilience in this article, five indicators of reliability, maintainability, and supportability are used as performance indicators. Also, organization resilience and the prognostic and health management of the system (PHM) are used as management indicators. To achieve more favorable results, the environmental and operational variables governing the system have been used in performance indicators, and expert experts' opinions have been used in management indicators.en_US
dc.identifier.citationNouri Qarahassanlou, Rahimazar, Khanzadeh. Assessing resilience in mechanical systems: an industrial perspective. International Journal of Quality & Reliability Management. 2024
dc.identifier.cristinIDFRIDAID 2253400
dc.identifier.doi10.1108/IJQRM-09-2022-0271
dc.identifier.issn0265-671X
dc.identifier.issn1758-6682
dc.identifier.urihttps://hdl.handle.net/10037/33282
dc.language.isoengen_US
dc.publisherEmeralden_US
dc.relation.journalInternational Journal of Quality & Reliability Management
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.titleAssessing resilience in mechanical systems: an industrial perspectiveen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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