The deviation of process output is usually estimated through the range or deviation of the sub‐samples in the calculation of process capability indices (PCI) in quality management. There are autocorrelation between the adjacent data in many practical process outputs. But this influence on PCI is not considered in process capability analysis. The autocorrelation of output data can be represented with time‐series model. Based on the several stationary stochastic process models of the time‐series analysis, the impact of the sampling method, sub‐sample size and deviation estimating methods in standard statistical process control are analyzed via simulation for the processes with autocorrelation. The autocorrelation testing of process should be undertaken in these cases. The proper analysis methods are set up in the paper.
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18 December 2009
Review Article|
December 18 2009
Autocorrelation's Effect on Process Capability Analysis Available to Purchase
Jianfeng Yang
Jianfeng Yang
Business School, Zhengzhou University, 75 Daxue road, Zhengzhou 450052, China
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Publisher: Emerald Publishing
Online ISSN: 2054-555X
Print ISSN: 1598-2688
© Emerald Group Publishing Limited
2009
Asian Journal on Quality (2009) 10 (3): 65–72.
Citation
Yang J (2009), "Autocorrelation's Effect on Process Capability Analysis". Asian Journal on Quality, Vol. 10 No. 3 pp. 65–72, doi: https://doi.org/10.1108/15982680911021197
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