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A Note on the Multivariate Process Capability Index MC pm
Author(s) -
Scagliarini Michele
Publication year - 2015
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.1592
Subject(s) - comparability , interpretability , multivariate statistics , index (typography) , process (computing) , process capability index , process capability , statistics , multivariate analysis , computer science , econometrics , data mining , work in process , reliability engineering , mathematics , engineering , artificial intelligence , operations management , combinatorics , world wide web , operating system
Important features of multivariate process capability indices are comparability, interpretability and ease of implementation. When poor process capability is indicated by an index, the user should determine why the process is incapable (e.g. excessive variability or off‐target process mean). One of the most used multivariate process capability indices is MC pm because it provides assessments of process precision and accuracy. In this work, we study and discuss a peculiarity of MC pm : processes that are equivalent in terms of precision, accuracy and MC pm index, after the occurrence of the same increase in the process variability, can have different values of the index. Because MC pm is often used for comparing processes, this behaviour may cause comparability difficulties. Therefore, we suggest how to take into account this specific behaviour for avoiding erroneous conclusions. Copyright © 2013 John Wiley & Sons, Ltd.