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

Saved in:
Bibliographic Details
Title: Disrupting disruptions: enhancing supply chain resilience—lessons from the US Air Force
Authors: Ron Berger, Ralf Wagner, Paul M. Dion, Olga Matthias
Source: Annals of Operations Research. 347:1163-1192
Publisher Information: Springer Science and Business Media LLC, 2025.
Publication Year: 2025
Subject Terms: ddc:000, Supply chain resilience, Modeling, Complex adaptive systems, Disruption, Casandra
Description: 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.
Document Type: Article
Language: English
ISSN: 1572-9338
0254-5330
DOI: 10.1007/s10479-025-06527-6
Access URL: https://hdl.handle.net/10419/323297
Rights: CC BY
Accession Number: edsair.doi.dedup.....72bab0a6650201d875fbbb84bfa935e9
Database: OpenAIRE
Description
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.
ISSN:15729338
02545330
DOI:10.1007/s10479-025-06527-6