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.

Bibliographic Details

Main Authors:	van Wagenberg, C.P.A., Aramyan, L.H., de Lauwere, C.C., Meuwissen, M.P.M., Timmer, M.J., Willems, D.J.M.
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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