As a consequence of globalization, supply chain systems recently evolved toward a dynamic network of firms and industries. This complexification of supply chain processes raises several challenges in particular with respect to compliance to regulations (e.g., safety, security). With the multiplication of intermediate actors, a single non-compliant actor might jeopardize the safety of population and actors involved in supply chain process. There is, therefore, a clear need for risk management in order to mitigate the occurrence of potential threats due to non compliance to regulation at the execution of the supply chain process. Traditional approaches tend to rely on human operators checks, or collection of contextual information from sensors locally (e.g., warehouse and truck).