Supply chain risk analysis: Open source simulator

Marco Anisetti, Valerio Bellandi, Ernesto Damiani, Fulvio Frati, Gabriele Gianini, Gwanggil Jeon, Jechang Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The evaluation of information sharing risk has become of paramount importance in the Supply Chain scenario. Chain actors are demanded to release an increasing amount of sensitive data in order to compute more precise master plans. In such a context, privacy issues arise and semi-honest or selfish actors could try to break the chain to increase their market shares. The SecureSCM project is studying a solution to provide a secure computation framework to protect these data, framework that has to be tuned w.r.t. the overall chain criticalities. In this paper, we present our open source Matlab-based supply chain simulator (Supply Chain Risk Simulator, SCRS) focused on chain optimization and the computation of the overall chain information sharing risk.

Original languageBritish English
Title of host publicationProceedings - 5th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2009
PublisherIEEE Computer Society
Pages443-450
Number of pages8
ISBN (Print)9780769539591
DOIs
StatePublished - 2009

Publication series

NameProceedings - 5th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2009

Keywords

  • Risk
  • SecureSCM
  • Shapley value
  • Supply chain

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