Journal article
Detecting multiple special causes from multivariate data with applications to fault detection in manufacturing
IIE transactions, Vol.39(8), pp.771-782
05/28/2007
DOI: 10.1080/07408170601089513
Abstract
Several articles in the recent literature propose linear models of product quality for both single station and multistation manufacturing processes. We show how these models may be used in conjunction with statistical methods to design a procedure for multivariate Statistical Process Control (SPC) that outperforms direct application of multivariate SPC. We show how to design the procedure and evaluate its performance in shift detection for models with and without singularities. The use of the procedure is illustrated using two examples from automobile body assembly.
Details
- Title: Subtitle
- Detecting multiple special causes from multivariate data with applications to fault detection in manufacturing
- Creators
- Paul Zantek - University of Maryland, College ParkShan Li - University of IowaYong Chen - University of Iowa
- Resource Type
- Journal article
- Publication Details
- IIE transactions, Vol.39(8), pp.771-782
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/07408170601089513
- ISSN
- 0740-817X
- eISSN
- 1545-8830
- Language
- English
- Date published
- 05/28/2007
- Academic Unit
- Industrial and Systems Engineering
- Record Identifier
- 9984186961202771
Metrics
3 Record Views