A Bayesian Network as a tool to measure Supply Chain Resilience
Resilience frameworks and tools are generally qualitative. The Diagnostic Tool presented in this paper provides a quantitative tool in the area of supply chain resilience. It is among the first tools to quantify the complex concept of resilience. We apply the tool to a sustainable pork chain in the Netherlands. We use a Bayesian Belief Networks (BNN) approach entailing among others the composition of multiple conditional probability tables. This proofed to provide necessary transparency and structure to the concept of resilience and resilience enhancing strategies in a business context.
Main Authors: | , , , , , |
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Format: | Article in monograph or in proceedings biblioteca |
Language: | English |
Subjects: | Life Science, |
Online Access: | https://research.wur.nl/en/publications/a-bayesian-network-as-a-tool-to-measure-supply-chain-resilience |
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