Supply Chain Risk Management 2017
DOI: 10.1007/978-981-10-4106-8_18
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Assessing Supply Chain Resilience upon Critical Infrastructure Disruptions: A Multilevel Simulation Modelling Approach

Abstract: Supply chains today are vulnerable to disruptions with a significant impact on firms' business and performance. The aim of supply chain risk management is to identify the potential sources of risks and implement appropriate actions in order to mitigate supply chain disruptions. This book presents a set of models, frameworks, strategies, and analyses that are essential for managing supply chain risks. It contributes by combining theoretical findings and research results with a practical and contemporary view on… Show more

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Cited by 4 publications
(5 citation statements)
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“…This result confirms and generalises what has been achieved by prior research (e.g. Birkie et al, 2017;Trucco et al, 2018).…”
Section: The Effectiveness Of Resilience Practicessupporting
confidence: 92%
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“…This result confirms and generalises what has been achieved by prior research (e.g. Birkie et al, 2017;Trucco et al, 2018).…”
Section: The Effectiveness Of Resilience Practicessupporting
confidence: 92%
“…lack of resilience capabilities along the supply chain) have much worse influence on revenue performance of supply chains compared to when same resilience capabilities were applied closer to the disruption trigger point (e.g. Trucco et al, 2018). This implies that by making the disruption propagation shorter, the potential effectiveness of efforts to keep performance up during a disruption becomes higher, and so does the ripple effect.…”
Section: Research Hypothesesmentioning
confidence: 99%
“…First, they support that (1) SCRs are interrelated and can be propagated from one point to another (e.g. Diabat et al, 2012;Chaudhuri et al, 2016;Prakash et al, 2017;Ivanov, 2017;Trucco et al, 2018;Cao et al, 2019;Birkie and Trucco, 2020). Second, they underpin that company-specific risk management strategies are not always effective in reducing and controlling the risks as suggested by Srivastava et al (2015).…”
Section: Discussion Of Resultsmentioning
confidence: 89%
“…Since risk mitigation and contingency actions are resource-intensive (Tomlin, 2006) and real-life experiments are costly (Manuj et al, 2009), this study selected simulation modelling in evaluating RSC scenarios. This study differs from the work of Ivanov (2017) and Trucco et al (2018) in a multi-tier supply chain by introducing the PDCA cycle for continuous and CRM with risk-sharing contracts.…”
Section: Discussion Of Resultsmentioning
confidence: 97%
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