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Assessing resilience in mechanical systems: an industrial perspective

Permanent link
https://hdl.handle.net/10037/33282
DOI
https://doi.org/10.1108/IJQRM-09-2022-0271
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Accepted manuscript version (PDF)
Date
2024-03-12
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Nouri Qarahassanlou, Ali; Rahimazar, Ali; Khanzadeh, Dina
Abstract
Purpose - 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.

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.

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.

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.

Publisher
Emerald
Citation
Nouri Qarahassanlou, Rahimazar, Khanzadeh. Assessing resilience in mechanical systems: an industrial perspective. International Journal of Quality & Reliability Management. 2024
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