A novel framework for quantification of supply chain risks

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Supply chain risk management is an active area of research and there is a research gap of exploring established risk quantification techniques in other fields for application in the context of supply chain management. We have developed a novel framework for quantification of supply chain risks that integrates two techniques of Bayesian belief network and Game theory. Bayesian belief network can capture interdependency between risk factors and Game theory can assess risks associated with conflicting incentives of stakeholders within a supply network. We introduce a new node termed 'Game theoretic risks' in Bayesian network that gets its qualitative and quantitative structure from the Game theory based analysis of the existing policies and partnerships within a supply network. We have applied our proposed risk modeling framework on the development project of Boeing 787 aircraft. Two different Bayesian networks have been modeled; one representing the Boeing's perceived supply chain risks and the other depicting real time supply chain risks faced by the company. The qualitative structures of both the models were developed through cognitive maps that were constructed from the facts outlined in a case study. The quantitative parts were populated based on intuition and subsequently updated with the facts. The Bayesian network model incorporating quantification of game theoretic risks provides all the reasons for the delays and financial loss of the project. Furthermore, the proactive strategies identified in various case studies were verified through our model. Such an integrated application of two different quantification techniques in the realm of supply chain risk management bridges the mentioned research gap. Successful application of the framework justifies its potential for further testing in other supply chain risk quantification scenarios. 

LanguageEnglish
Title of host publication4th Student Conference on Operational Research
Subtitle of host publicationOpenAccess Series in Informatics (OASIcs)
EditorsPedro Crespo Del Granado, Martim Joyce-Moniz, Stefan Ravizza
Place of PublicationDagstuhl, Germany
Pages1-15
Number of pages15
Volume37
DOIs
Publication statusPublished - 31 Jul 2014
Event4th Student Conference on Operational Research, SCOR 2014 - Nottingham, United Kingdom
Duration: 2 May 20144 May 2014

Conference

Conference4th Student Conference on Operational Research, SCOR 2014
CountryUnited Kingdom
CityNottingham
Period2/05/144/05/14

Fingerprint

Quantification
Supply chain risk
Game theory
Bayesian networks
Supply risk management
Boeing
Supply network
Bayesian belief networks
Node
Network model
Scenarios
Interdependencies
Modeling
Testing
Incentives
Cognitive map
Aircraft
Risk factors
Stakeholders
Intuition

Keywords

  • bayesian belief network
  • cognitive maps
  • conflicting incentives
  • game theory
  • supply chain risk management

Cite this

Qazi, A., Quigley, J., & Dickson, A. (2014). A novel framework for quantification of supply chain risks. In P. C. Del Granado, M. Joyce-Moniz, & S. Ravizza (Eds.), 4th Student Conference on Operational Research: OpenAccess Series in Informatics (OASIcs) (Vol. 37, pp. 1-15). Dagstuhl, Germany. https://doi.org/10.4230/OASIcs.SCOR.2014.1
Qazi, Abroon ; Quigley, John ; Dickson, Alexander. / A novel framework for quantification of supply chain risks. 4th Student Conference on Operational Research: OpenAccess Series in Informatics (OASIcs). editor / Pedro Crespo Del Granado ; Martim Joyce-Moniz ; Stefan Ravizza. Vol. 37 Dagstuhl, Germany, 2014. pp. 1-15
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Qazi, A, Quigley, J & Dickson, A 2014, A novel framework for quantification of supply chain risks. in PC Del Granado, M Joyce-Moniz & S Ravizza (eds), 4th Student Conference on Operational Research: OpenAccess Series in Informatics (OASIcs). vol. 37, Dagstuhl, Germany, pp. 1-15, 4th Student Conference on Operational Research, SCOR 2014, Nottingham, United Kingdom, 2/05/14. https://doi.org/10.4230/OASIcs.SCOR.2014.1

A novel framework for quantification of supply chain risks. / Qazi, Abroon; Quigley, John; Dickson, Alexander.

4th Student Conference on Operational Research: OpenAccess Series in Informatics (OASIcs). ed. / Pedro Crespo Del Granado; Martim Joyce-Moniz; Stefan Ravizza. Vol. 37 Dagstuhl, Germany, 2014. p. 1-15.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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T1 - A novel framework for quantification of supply chain risks

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AU - Quigley, John

AU - Dickson, Alexander

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N2 - Supply chain risk management is an active area of research and there is a research gap of exploring established risk quantification techniques in other fields for application in the context of supply chain management. We have developed a novel framework for quantification of supply chain risks that integrates two techniques of Bayesian belief network and Game theory. Bayesian belief network can capture interdependency between risk factors and Game theory can assess risks associated with conflicting incentives of stakeholders within a supply network. We introduce a new node termed 'Game theoretic risks' in Bayesian network that gets its qualitative and quantitative structure from the Game theory based analysis of the existing policies and partnerships within a supply network. We have applied our proposed risk modeling framework on the development project of Boeing 787 aircraft. Two different Bayesian networks have been modeled; one representing the Boeing's perceived supply chain risks and the other depicting real time supply chain risks faced by the company. The qualitative structures of both the models were developed through cognitive maps that were constructed from the facts outlined in a case study. The quantitative parts were populated based on intuition and subsequently updated with the facts. The Bayesian network model incorporating quantification of game theoretic risks provides all the reasons for the delays and financial loss of the project. Furthermore, the proactive strategies identified in various case studies were verified through our model. Such an integrated application of two different quantification techniques in the realm of supply chain risk management bridges the mentioned research gap. Successful application of the framework justifies its potential for further testing in other supply chain risk quantification scenarios. 

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A2 - Joyce-Moniz, Martim

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CY - Dagstuhl, Germany

ER -

Qazi A, Quigley J, Dickson A. A novel framework for quantification of supply chain risks. In Del Granado PC, Joyce-Moniz M, Ravizza S, editors, 4th Student Conference on Operational Research: OpenAccess Series in Informatics (OASIcs). Vol. 37. Dagstuhl, Germany. 2014. p. 1-15 https://doi.org/10.4230/OASIcs.SCOR.2014.1