Design of Multiple Cause-Selecting Charts for Multistage Processes with Model Uncertainty
Lianjie Shu1; Fugee Tsung1; Kailash C. Kapur2
2004
Source PublicationQuality Engineering
ISSN0898-2112; 1532-4222
Volume16Issue:3Pages:437-450
Abstract

The cause-selecting chart (CSC) is an effective statistical process control tool for monitoring multistage processes. The multiple cause-selecting chart (MCSC) is the further development of the CSC, which deals with the case when the output measure is a function of multiple input measures. In practice, the model relating the input and output measures often needs to be estimated before the MCSC is implemented.  However,  the  traditional  design  of  MCSCs  does  not  take parameter uncertainties into account when estimating the control limits. The actual false-alarm rate can substantially differ from what is expected. This article presents the design and implementation of MCSCs using prediction limits to account for parameter uncertainties. These limits are developed using two types of procedures: the least-squares estimation and principal component regression. The simulation results show that the prediction limits are quite effective in terms of maintaining a desired false-alarm rate.

KeywordPrincipal Components Regression Statistical Process Control
DOIhttps://doi.org/10.1081/QEN-120027945
Language英语
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Document TypeJournal article
CollectionDEPARTMENT OF ACCOUNTING AND INFORMATION MANAGEMENT
Corresponding AuthorFugee Tsung
Affiliation1.Department of Industrial Engineering and Engineering Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
2.Department of Industrial Engineering, University of Washington, Seattle, Washington, USA
Recommended Citation
GB/T 7714
Lianjie Shu,Fugee Tsung,Kailash C. Kapur. Design of Multiple Cause-Selecting Charts for Multistage Processes with Model Uncertainty[J]. Quality Engineering,2004,16(3):437-450.
APA Lianjie Shu,Fugee Tsung,&Kailash C. Kapur.(2004).Design of Multiple Cause-Selecting Charts for Multistage Processes with Model Uncertainty.Quality Engineering,16(3),437-450.
MLA Lianjie Shu,et al."Design of Multiple Cause-Selecting Charts for Multistage Processes with Model Uncertainty".Quality Engineering 16.3(2004):437-450.
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