Gun and rifle manufacturing contain various failures in the process of CNC machining, material supply, research & development, infrastructure and operator. Due to these failures, the enterprise is exposed to great economic losses and a decrease in competition in the global market. In addition, fail ures in production cause events that seriously threaten human health. Failure analysis can increase safety by determining the cause of potential errors and taking measures for identified errors in the life cycle of the products. Therefore, this study emplo ys a Bayesian Network (BN) based modeling approach for capturing dependency among the basic events and obtaining top event probability. Firstly, a fault tree analysis (FTA) d iagram is constructed, since its target is to pinpoint how basic event failures result in a top event (system) failure by an AND/OR logical gate While AND logical gate should take place in both cases, it is sufficient to realize one of the states in the OR logical gate. Then, a BN based on fault tree transformation is applied. A cas e study in a leading weapon factory that produces various types of guns and rifles in the Black Sea region of Turkey is performed. For the application viewpoint, appropriate control measures can be taken into account to decrease the number of failed produc ts based on the performed failure analysis.