A Bayesian Network as a tool to measure Supply Chain Resilience

Research output: Contribution to conferenceConference paper

Abstract

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.
Original languageEnglish
Number of pages12
Publication statusPublished - 2018
EventInternational Conference of Agricultural Economists (ICAE 2018) - Vancouver, Canada
Duration: 28 Jul 20182 Aug 2018

Conference

ConferenceInternational Conference of Agricultural Economists (ICAE 2018)
CountryCanada
CityVancouver
Period28/07/182/08/18

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