Supply Chain Risk Analysis: Open Source Simulator

Author

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

Author_Institution

Dipt. di Tecnol. dell´´Inf., Univ. Degli Studi di Milano, Crema, Italy

fYear

2009

fDate

Nov. 29 2009-Dec. 4 2009

Firstpage

443

Lastpage

450

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.

Keywords

data privacy; production engineering computing; public domain software; risk management; supply chain management; SecureSCM project; information sharing risk; open source Matlab-based supply chain simulator; open source simulator; privacy issues; supply chain risk analysis; Companies; Computational modeling; Context; Optimization; Silicon; Supply chains; Thyristors; Risk; SecureSCM; Shapley Value; Supply Chain;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal-Image Technology & Internet-Based Systems (SITIS), 2009 Fifth International Conference on

Conference_Location

Marrakesh

Print_ISBN

978-1-4244-5740-3

Electronic_ISBN

978-0-7695-3959-1

Type

conf

DOI

10.1109/SITIS.2009.75

Filename

5633955