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Supply Chain Risk Management by Mining Business Dependencies

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1 Author(s)
Hancu, L. ; SoftProEuro s.r.l., Cluj-Napoca, Romania

Current supply chain risk management techniques rely on the integration of the business information systems of the entities forming the supply chain. The method is well-suited for small and medium entities, but large Entities are rather reticent in integrating Information Systems with the ones of SMEs. This article presents a risk-reduction mechanism based on mining Business Dependencies that were previously automatically discovered from the Web logs of our multi-server search application. The material gathered in the previous experiments (business dependencies inferred from Web usage logs and information on entities) serves as a support for building Virtualized Supply Chains. The generation of the Virtualized Supply Chains and the computation of the associated risks conduct to the derivation of a risk reduction technique, which can be later applied in the redesign of Supply Chains and replace suppliers having high risk measures with those exhibiting lower risk measures.

Published in:

Symbolic and Numeric Algorithms for Scientific Computing, 2008. SYNASC '08. 10th International Symposium on

Date of Conference:

26-29 Sept. 2008