Constructing And Maintaining A Beta Process Distribution For Bayesian Quality Audit Systems
作者:
Kwei Tang,
Michael Peters,
Jen Tang,
期刊:
IIE Transactions
(Taylor Available online 1987)
卷期:
Volume 19,
issue 1
页码: 98-106
ISSN:0740-817X
年代: 1987
DOI:10.1080/07408178708975375
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The process distribution of a manufacturing process which reflects past experience with the quality levels of outgoing lots is an indispensible input of the Bayesian quality audit systems. A distance-method estimator for the process distribution is developed and shown to be superior to the commonly used method-of-moments estimator. In a continuous manufacturing process, the process distribution needs to be updated after each new lot is inspected. Several updating procedures including the posterior distribution, the exponential smoothing method, the moving window method and the all periods method are proposed and compared by a simulation study.
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