Modeling supply risk using belief networks : a process with application to the distribution of medicine

Leerojanaprapa, K. and van der Meer, R. and Walls, L.; (2013) Modeling supply risk using belief networks : a process with application to the distribution of medicine. In: 2013 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE International Conference on Industrial Engineering and Engineering Management . IEEE, THA. ISBN 9781479909865 (https://doi.org/10.1109/IEEM.2013.6962403)

[thumbnail of Leerojanaprapa-etal--ICIEEM-2013-Modeling-supply-risk-using-belief-networks]
Preview
 Text. Filename: Leerojanaprapa_etal_ICIEEM_2013_Modeling_supply_risk_using_belief_networks.pdf
Accepted Author Manuscript
Download (249kB)| Preview

Abstract

We propose a modeling approach based on belief networks to capture and understand the systemic nature of risks affecting supply networks. By aligning the purpose of a model with the nature of supply management decisions, we provide a mechanism for identifying relevant supply risks so that we can visualize interdependencies between risks and predict their effects on supply performance. By using a belief network modeling formalism we can use diagnostics to understand the key drivers of unwanted risk scenarios and to explore the efficacy of possible risk mitigating actions. We illustrate how belief network modeling can be used to manage the risk/reward position and provide new insights into supply risks through an example for the medicine supply chain of a regional health service provider.

ORCID iDs

Leerojanaprapa, K., van der Meer, R. ORCID logoORCID: https://orcid.org/0000-0002-9442-1628 and Walls, L. ORCID logoORCID: https://orcid.org/0000-0001-7016-9141;
CORE (COnnecting REpositories)