Disrupting disruptions: enhancing supply chain resilience—lessons from the US Air Force

Ron Berger (), Ralf Wagner (), Paul M. Dion () and Olga Matthias ()
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Ron Berger: Bar-Ilan University
Ralf Wagner: University of Kassel
Paul M. Dion: University of Nebraska Lincoln
Olga Matthias: Heriot-Watt University

Annals of Operations Research, 2025, vol. 347, issue 3, No 1, 1163-1192

Abstract: Abstract Black swan events have highlighted the importance of supply chain resilience and hence drawn increased attention from academia. Using military supply chains as our research setting, we illustrate how supply chain resilience can be implemented in civilian networks and incorporate agility and flexibility into a responsive system-to-system model. We use a simulation model based on the Cassandra application to further develop supply chain network resilience theory. Our model provides updated situational awareness to decision makers and allows managers to identify direct and indirect threats to supply chains, allowing adaptation to unforeseen situations. We developed a dynamic, whole-system network model to provide timely, accurate, updateable and scalable information to planners and decision-makers at all levels in-order to reduce risk and increase resilience.

Keywords: Supply chain resilience; Complex adaptive systems; Casandra; Modeling; Disruption (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-025-06527-6

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