ANALYSIS ON PRODUCT TECHNICAL RISK WITH BAYESIAN BELIEF NETWORKS

摘要

With the development of the science and technology, products are more and more complex, e.g. more functions integrated into one product, abilities of products are stronger and stronger, degrees of automatization and intelligentizing are higher and higher. In order to develop products successful, we must analyze product technical risk systematically and comprehensively. All products' behaviors that don't satisfy their functions are function failures, i.e. product technical risk. The sources of causing risk are the products' structures. We anticipate the behaviors of the target product, seek the potential function failures, and analyze the causes, and then set up BBN model. With this methodology, we have analyzed the product technical risk of a microelectronic equipment.