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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Cite this

@conference{869d3e21ce564fe5870f53efeb1ec977,
title = "A Bayesian Network as a tool to measure Supply Chain Resilience",
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.",
author = "{van Wagenberg}, C.P.A. and L.H. Aramyan and {de Lauwere}, C.C. and M.P.M. Meuwissen and M.J. Timmer and D.J.M. Willems",
year = "2018",
language = "English",
note = "International Conference of Agricultural Economists (ICAE 2018) ; Conference date: 28-07-2018 Through 02-08-2018",

}

van Wagenberg, CPA, Aramyan, LH, de Lauwere, CC, Meuwissen, MPM, Timmer, MJ & Willems, DJM 2018, 'A Bayesian Network as a tool to measure Supply Chain Resilience' Paper presented at International Conference of Agricultural Economists (ICAE 2018), Vancouver, Canada, 28/07/18 - 2/08/18, .

A Bayesian Network as a tool to measure Supply Chain Resilience. / van Wagenberg, C.P.A.; Aramyan, L.H.; de Lauwere, C.C.; Meuwissen, M.P.M.; Timmer, M.J.; Willems, D.J.M.

2018. Paper presented at International Conference of Agricultural Economists (ICAE 2018), Vancouver, Canada.

Research output: Contribution to conferenceConference paper

TY - CONF

T1 - A Bayesian Network as a tool to measure Supply Chain Resilience

AU - van Wagenberg, C.P.A.

AU - Aramyan, L.H.

AU - de Lauwere, C.C.

AU - Meuwissen, M.P.M.

AU - Timmer, M.J.

AU - Willems, D.J.M.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

M3 - Conference paper

ER -

van Wagenberg CPA, Aramyan LH, de Lauwere CC, Meuwissen MPM, Timmer MJ, Willems DJM. A Bayesian Network as a tool to measure Supply Chain Resilience. 2018. Paper presented at International Conference of Agricultural Economists (ICAE 2018), Vancouver, Canada.