Resilience and Robustness of Dynamic Manufacturing Supply Networks

A new modelling approach of evaluating preventive and reactive strategies for mitigating supply chain risks

Abroon Qazi, John Quigley, Alex Dickson, and Barbara Gaudenzi
Computational Logistics: 6th International Conference, ICCL 2015 VOL, , 2015.

Supply chains are becoming more complex and vulnerable due to globalization and interdependency between different risks. Existing studies have focused on identifying different preventive and reactive strategies for mitigating supply chain risks and advocating the need for adopting specific strategy under a particular situation. However, current research has not addressed the issue of evaluating an optimal mix of preventive and reactive strategies taking into account their relative costs and benefits within the supply network setting of interconnected firms and organizations. We propose a new modelling approach of evaluating different combinations of such strategies using Bayesian belief networks. This technique helps in determining an optimal solution on the basis of maximum improvement in the network expected loss. We have demonstrated our approach through a simulation study and discussed practical and managerial implications.

doi: 10.1007/978-3-319-24264-4_39
permanent link: http://www.for1748.de/papers/CITEKEY
The project "Resilience and Robustness of Dynamic Manufacturing Supply Networks" is funded by the EPSRC under grant number EP/K031686/1