The frequency and intensity of natural and manmade disasters are increasing yearly. Explore the resilience and safety level of the emergency supply chain, and this paper analyzes the existing problems of resilience and security of the emergency supply chain from four aspects: coordination and trust among relevant parties, network threat, outsourcing security risk, and uncertainty. Bayesian networks (BN) are proposed to solve these problems based on four main factors: technical, organizational, human, and environmental factors are used to assess the resilience of the supply chain. Through the Bayesian network model and Leaky Noisy-or model, it is found that the information management platform in technical factors and the collaboration in organizational factors have the greatest impact on emergency supply chain disruption, which is 0.6 and 0.57, respectively.
Bayesian-based assessment of emergency supply chain resilience and security levels
04.08.2023
1148323 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Resilience Analysis for Complex Supply Chain Systems Using Bayesian Networks (AIAA 2016-0474)
British Library Conference Proceedings | 2016
|Systems security, resilience, and emergency management 2018
TIBKAT | 2019
|Resilience Analysis for Complex Supply Chain Systems Using Bayesian Networks (AIAA 2016-0474)
British Library Conference Proceedings | 2016
|