2023
DOI: 10.1177/1748006x231168957
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Petri nets-based method for operational risk analysis in supply chains based on timeliness and recovery time

Abstract: Recently, supply chain risk management has been attracting growing attention. Therefore, various methods, tools, and practices have been developed in this area. However, they usually are focused on the direct consequences of disruptions occurring in supply chains. Thus, the purpose of this article is to present an operational risk analysis method for supply chains, in which consequences of an adverse event occurrence are assessed based on two measures: (1) the direct consequences (disruption) of supply process… Show more

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Cited by 2 publications
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“…Following ESREL 2021 and this special session, this special section including five papers [1][2][3][4][5] was collated with the objective of highlighting and disseminating current state-of-the-art methods and their practical applications in reliability, risk, and resilience engineering for structures and infrastructures.…”
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confidence: 99%
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“…Following ESREL 2021 and this special session, this special section including five papers [1][2][3][4][5] was collated with the objective of highlighting and disseminating current state-of-the-art methods and their practical applications in reliability, risk, and resilience engineering for structures and infrastructures.…”
mentioning
confidence: 99%
“…During ESREL 2021, a special session on “Advancements in Resilience Engineering of Critical Infrastructures” was organized by Rasa Remenyte-Prescott, University of Nottingham, UK, Lead of European Safety, Reliability & Data Association (ESReDA) Project Group on Resilience Engineering and Modeling of Networked Infrastructures and Giovanni Sansavini, ETH Zurich, Chair of the ESRA Technical Committee on Critical Infrastructures. Following ESREL 2021 and this special session, this special section including five papers 15 was collated with the objective of highlighting and disseminating current state-of-the-art methods and their practical applications in reliability, risk, and resilience engineering for structures and infrastructures.…”
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confidence: 99%
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