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.