Abstract
Supply chain risk management (SCRM) has emerged as an issue of critical importance for today's globalised supply chains. This topic still presents obstacles in practice, especially in terms of evaluating alternatives for managing risks. Therefore, the aim of this research is to study the impact that specific risk-reduction strategies could have on supply lead time and on the related logistics cost and to offer a tool to support companies in the implementation of these strategies. A simulation-based framework in order to assess the effectiveness and the efficiency of the SCRM strategies under consideration has been developed. The framework was applied to two real-life case studies, providing a better understanding of the key elements impacting on the choice of the optimal SCRM strategy.