Methodology of analyzing the organizational and technical risks of equipment readiness of selective laser melting based on Bayes networks

The article proposes a methodology for analyzing the organizational-technical risks of equipment readiness to execution Selective Laser Melting (SLM) in accordance with established regulations, based on the use of Bayesian networks. The identification of risks and the possibility of undesirable events was carried out by questionnaires experts. The processing of questionnaires results made it possible to develop a probabilistic model, has been developed for quantifying the impact of organizational factors on deviations from the standard regulations for preparing equipment for the SLM process, which allows quantifying the degree of impact of deviations on the production system and the availability of equipment for order fulfillment.