A Framework for Continuous Inspection Plans Using Multivariate Mathematical Methods
Article first published online: 3 OCT 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Quality and Reliability Engineering International
Volume 29, Issue 7, pages 937–949, November 2013
How to Cite
Oprime, P. and Ganga, G. M. D. (2013), A Framework for Continuous Inspection Plans Using Multivariate Mathematical Methods. Qual. Reliab. Engng. Int., 29: 937–949. doi: 10.1002/qre.1446
- Issue published online: 29 OCT 2013
- Article first published online: 3 OCT 2012
- Manuscript Accepted: 15 JUN 2012
- Manuscript Received: 6 JUN 2012
- engineering process control;
- quality improvement;
- process monitoring;
- continuous sampling plans
The aim of this study was to propose and apply a sampling procedure using mathematical models and multivariate statistics for continuous processes in manufacturing companies. The research presented in this paper can be classified as a descriptive and empirical quantitative study in which the basic interest was in creating a model that describes and analyzes the causal relationships between the quality characteristics (in this case, multivariate) of a process, in order to select the best continuous inspection plan. This framework was applied in a company that supplies the main component producers for the worldwide car industry. The results obtained from applying the multivariate procedures made it possible to select the best continuous inspection plan based on inspection frequency, resultant mean quality, and proportion of the units inspected. This procedure should be tested on new problems and real situations in order to validate the methods used. Copyright © 2012 John Wiley & Sons, Ltd.