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In this work, we present Taguchi’s economic on line quality monitoring method for attributes. The aim of this method is to obtain the inspection interval that minimizes the expected cost per item produced in an industrial process. After that, we will consider the alternative method proposed by Nayebpour e Woodall (1993) and the derivation of the maximum likelihood and Bayes estimators developed by Borges, Esteves e Wechsler (2005). Finally, we will propose a new solution to the problem of inspection interval determination through Bayesian Decision Theory. This last solution will be implemented and its performance will be illustrated with a few examples.

Uma abordagem bayesiana para o método de controle on-line de Taguchi para atributos