Title of article
Multivariate process capability indices on the presence of priority for quality characteristics
Author/Authors
Raissi, S. islamic azad university - Dep of Industrial Engineering, ايران
From page
27
To page
36
Abstract
Multivariate Process Capability Indices (MPCI) show how well a manufacturing process can meet specification limits when quality characteristics enclose a relative correlation. Process capability is an important and commonly used metric for assessing and improving the quality of a production process. When quality characteristics of a product are correlated then an attractive comes close to MPCI methods, which are not usually an easy task to carry out. In this investigation after a full reviewing of the MPCI, a simple method to estimate product capability indices based on ridge regression models in the presence of priority for quality characteristics is presented. The technique is demonstrated for evaluation of product capability through the use of an example which shows performance of the proposed method.
Keywords
Multivariate process capability indices , Product capability , Ridge regression method , Quality characteristic priority , Multivariate statistical process control
Journal title
Journal of Industrial Engineering International
Journal title
Journal of Industrial Engineering International
Record number
2584846
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