Title :
Multivariate Process Capability Index with Spatial Coefficient Modification
Author :
Mingxin, Wang ; Shaoxi, Wang ; Shengbing, Zhang ; Xiaoya, Fan
Author_Institution :
Northwestern Polytech. Univ., Xian, China
fDate :
July 31 2012-Aug. 2 2012
Abstract :
Process capability ultimately decides process quality level. Based on analyzing process capability index (PCI), process capability may be effectively assured. For the multivariate manufacturing processes, tremendous difficulties are often encountered when one attempts to measure the process capability by directly extending the univariate approach. The paper presents a modify spatial multivariate PCI method, which can solve multivariate off-centered case and may provide references for assuring and improving process quality level while achieving overall evaluation of process quality. At last, examples for calculating multivariate PCI are given and the experimental results show that the systematic method presented is effective and actual.
Keywords :
manufacturing processes; process capability analysis; quality assurance; quality control; multivariate manufacturing processes; multivariate process capability index; process capability index analysis; process quality evaluation; process quality level; process quality level assurance; process quality level improvement; spatial coefficient modification; spatial multivariate PCI method; univariate approach; Educational institutions; Equations; Indexes; Manufacturing; Mathematical model; Reliability engineering; Standards; multivariate; off-center; process capability index;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
DOI :
10.1109/ICDMA.2012.130