Supply chain risk analysis: Open source simulator

  • Anisetti, Marco
  • Bellandi, Valerio
  • Damiani, Ernestoa
  • Frati, Fulvio
  • Gianini, Gabriele
  • 외 2명
Citations

SCOPUS

4

초록

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.

키워드

RiskSecureSCMShapley valueSupply chainCompetitionInformation analysisInformation disseminationRisk assessmentRisk perceptionRisksSimulatorsSupply chainsInformation sharingOpen sourcesPrivacy issueSecure computationSecureSCMSensitive datasShapley valueSupply chain riskMarket shareMaster planRisk analysis
제목
Supply chain risk analysis: Open source simulator
저자
Anisetti, MarcoBellandi, ValerioDamiani, ErnestoaFrati, FulvioGianini, GabrieleJeon, GwanggilJeong, Jechang
DOI
10.1109/SITIS.2009.75
발행일
2009-11
유형
Conference Paper
저널명
Proceedings - 5th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2009
페이지
443 ~ 450