Journal article
A high-dimensional control chart for profile monitoring
Quality and reliability engineering international, Vol.27(4), pp.451-464
06/2011
DOI: 10.1002/qre.1140
Abstract
Profile monitoring is an important and rapidly emerging area of statistical process control. In many industries, the quality of processes or products can be characterized by a profile that describes a relationship or a function between a response variable and one or more independent variables. A change in the profile relationship can indicate a change in the quality characteristic of the process or product and, therefore, needs to be monitored for control purposes. We propose a high-dimensional (HD) control chart approach for profile monitoring that is based on the adaptive Neyman test statistic for the coefficients of discrete Fourier transform of profiles. We investigate both linear and nonlinear profiles, and we study the robustness of the HD control chart for monitoring profiles with stationary noise. We apply our control chart to monitor the process of nonlinear woodboard vertical density profile data of Walker and Wright (J. Qual. Technol. 2002; 34:118-129) and compare the results with those presented in Williams et al. (Qual. Reliab. Eng. Int. 2007; to appear). © 2010 John Wiley & Sons, Ltd.
Details
- Title: Subtitle
- A high-dimensional control chart for profile monitoring
- Creators
- Shuohui Chen - Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16801, U.S.AHarriet Black Nembhard - Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16801, U.S.A
- Resource Type
- Journal article
- Publication Details
- Quality and reliability engineering international, Vol.27(4), pp.451-464
- Publisher
- John Wiley & Sons, Ltd
- DOI
- 10.1002/qre.1140
- ISSN
- 0748-8017
- eISSN
- 1099-1638
- Number of pages
- 14
- Language
- English
- Date published
- 06/2011
- Academic Unit
- Industrial and Systems Engineering; Engineering Administration
- Record Identifier
- 9984121870602771
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