A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes

详细信息	查看全文 | 推荐本文 |

• 作者：Miriam Harumi Tsunemi^a ; Thiago Feitosa Campos^b ; Luí ; s Gustavo Esteves^b ; ^{lesteves@ime.usp.br} ; José ; Galvã ; o Leite^c ; Sergio Wechsler^b
• 关键词：Taguchi's procedure for attributes ; Continued quality deterioration ; Bayesian operation ; Mixture of Dirichlet processes ; Bayesian estimation
• 刊名：Journal of Statistical Planning and Inference
• 出版年：2012
• 期刊代码：36_03783758
• 类别：mt
• 出版时间：September, 2012
• 卷：142
• 期：9
• 页码：2701-2709
• 文件大小：637 K

摘要

A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual quality deterioration and allows the incorporation of an expert's opinion on the production process. Based on the number of inspections to be carried out until a defective item is found, the Bayesian operation for the distribution function that represents the increasing sequence of defective fractions during a cycle considering a mixture of Dirichlet processes as prior distribution is performed. Bayes estimates for relevant quantities are also obtained.