Interdependency modeling of supply chain risks incorporating game theoretic risks
Qazi, Abroon Jamal and Quigley, John and Dickson, Alexander; (2014) Interdependency modeling of supply chain risks incorporating game theoretic risks. In: 10th Doctoral Workshop on Purchasing and Supply Management and IPSERA International Nodes Meeting. Associazione Italiana di Ingegneria Gestionale, ITA.
PDF.
Filename: Qazi_etal_ASM2014_supply_chain_risks_incorporating_game_theoretic_risks.pdf
Accepted Author Manuscript Download (388kB) |
Abstract
Most of the current risk quantification techniques being applied in the field of Supply Chain Risk Management consider risk factors to be independent. This research considers risks as interdependent triggers, events and consequences. We propose a risk quantification framework based on Bayesian belief network modeling that is an effective method to capture the mentioned interaction between various risk factors. The conflicting incentives among stakeholders in a supply chain can jeopardize the success of a project and therefore, quantification of this category of risks named as 'Game theoretic risks' needs special consideration. We have assessed game theoretic risks in the development project of Boeing 787 aircraft. The game theoretic analysis captures uncertainty of the Tier-1 suppliers about the cost functions of each other and demonstrates that any uncertainty of information in a supply chain can adversely affect the intended outcome. Finally, we have designed a fair sharing partnership featuring continuous time domain and present value of money concept that aligns the conflicting incentives.
ORCID iDs
Qazi, Abroon Jamal ORCID: https://orcid.org/0000-0003-4609-8712, Quigley, John ORCID: https://orcid.org/0000-0002-7253-8470 and Dickson, Alexander ORCID: https://orcid.org/0000-0001-9386-9036;-
-
Item type: Book Section ID code: 50443 Dates: DateEvent15 October 2014PublishedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science
Strathclyde Business School > EconomicsDepositing user: Pure Administrator Date deposited: 19 Nov 2014 14:30 Last modified: 17 Dec 2024 01:02 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/50443