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Risk assessment and management for supply chain networks: A case study

✍ Scribed by Gonca Tuncel; Gülgün Alpan


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
344 KB
Volume
61
Category
Article
ISSN
0166-3615

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✦ Synopsis


The aim of this study is to show how a timed Petri nets framework can be used to model and analyze a supply chain (SC) network which is subject to various risks. The method is illustrated by an industrial case study. We first investigate the disruption factors of the SC network by a failure mode, effects and criticality analysis (FMECA) technique. We then integrate the risk management procedures into design, planning, and performance evaluation process of supply chain networks through Petri net (PN) based simulation. The developed PN model provides an efficient environment for defining uncertainties in the system and evaluating the added value of the risk mitigation actions. The findings of the case study shows that the system performance can be improved using risk management actions and the overall system costs can be reduced by mitigation scenarios.


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