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A New Multivariate Process Capability Index Under Both Unilateral and Bilateral Quality Characteristics
Author(s) -
Jalili Majid,
Bashiri Mahdi,
Amiri Amirhossein
Publication year - 2012
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1284
Subject(s) - multivariate statistics , process capability , univariate , process capability index , index (typography) , multivariate analysis , process (computing) , quality (philosophy) , conventional pci , computer science , statistical process control , statistics , data mining , reliability engineering , mathematics , engineering , work in process , operations management , medicine , philosophy , epistemology , psychiatry , world wide web , myocardial infarction , operating system
Process capability indices (PCIs) are used in statistical process control to evaluate the capability of the processes in satisfying the customer's needs. In the past two decades varieties of PCI are introduced by researchers to analyze the process capability with univariate or multivariate quality characteristics. To the best of our knowledge, most famous multivariate capability indices are proposed when the quality characteristics have both upper and lower specification limits. These indices are incapable to assess the multivariate processes capability with unilateral specification. In this article, we propose a new multivariate PCI to analyze the processes with one or more unilateral specification limits. This new index also accounts for all problems in the best PCIs of the literature. The performance of the proposed index is evaluated by real cases under different situations. The results show that the proposed index performs satisfactorily in all cases considered. Copyright © 2012 John Wiley & Sons, Ltd.