This study provides an examination of disaster risk profiles associated with casting suppliers in the automotive industry. Therefore, the results are specific to the study participants. A potential limitation to the use of the methodology presented in this study is the ability to acquire the necessary data from suppliers needed for the construction of the Bayesian networks. There may be circumstances where some participants within a supply chain network are reluctant to share risk profile data with their customers. Moreover, suppliers must be willing to periodically update this data in order to construct risk profiles that are valid and reliable. A limitation to the use of Bayesian networks to model supply chain risks is the proper identification of risk event and risk categories that can impact a supply chain. Since there are a number of approaches available for categorizing supply chain risks, the inability to incorporate all relevant risks into the model could limit its effectiveness in representing a supplier’s true risk profile. Therefore, the data