Economic Design of One-sided Xbar Control Charts for Finite Production Runs: Guidelines for the Selection of Adaptive Policies
Adaptive Bayesian Xbar control charts have been proposed in literature as a valid tool for monitoring quality in finite production runs of discrete parts. The design parameters of these charts are not fixed a priori: they are selected step by step during the process operating activities, in accordance to an adaptive policy based on the Bayes’ Theorem. Generally, the Bayesian charts are designed with the aim of minimizing the costs during the production run. The goal of this study is to provide the decision makers with some guidelines concerning the implementation of an adaptive one-sided Bayesian chart to control the sample mean. The numerical analysis has been performed by optimizing a mathematical function related to the costs incurred during a production run: a set of examples whose input data are organized as a two level quarter fraction factorial design of experiments has been investigated. The obtained results allow the influencing effects on the economic design of the chart to be determined and to provide the decision makers with fast and easy graphical means to be used when a decision should be taken whether the implementation on their process of a Bayesian chart is less expensive than a Shewhart chart.
Quality Control Control Charts Adaptive Policies Bayes Theorem
Giovanni CELANO Sergio FICHERA Enrico TROVATO
Dipartimento di Ingegneria Industriale e Meccanica University of Catania–Faculty of Engineering Cata Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi University of Catania–Faculty of Engi
国际会议
北京
英文
2007-05-30（万方平台首次上网日期，不代表论文的发表时间）