Quantifying the Resilience of Cloud-Based Manufacturing Composite Services

Mohammad Reza Namjoo, Abbas Keramati, S. Ali Torabi and Fariborz Jolai
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Mohammad Reza Namjoo: School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Abbas Keramati: School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran & Ted Rogers School of Information Technology Management (TRSITM), Ryerson University, Toronto, Canada
S. Ali Torabi: School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Fariborz Jolai: School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

International Journal of Cloud Applications and Computing (IJCAC), 2018, vol. 8, issue 4, 88-117

Abstract: Composite services are regarded as essential components of a cloud-based manufacturing (CM) system. Different classes of disruptive events which are rooted in the uncertainties of the supply and demand sides of CM threaten the resilience and continuity of the composite services over time. The present article proposes a resilience measure based on a generic system resilience metric along with a two-step method based on MCDM and SIS-Monte-Carlo to quantify the resilience of CM composite services by considering recovery time objective (RTO). To present the applicability of the proposed method, a numerical example was designed and simulated. The results showed that the resilience of composite service is sensitive to geographical distance, RTO, and quality of recovery.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcac00:v:8:y:2018:i:4:p:88-117

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