Synthetic Phase II Shewhart-type Attributes Control Charts When Process Parameters are Estimated

被引:24
作者
Castagliola, Philippe [1 ]
Wu, Shu [1 ,2 ]
Khoo, Michael B. C. [3 ]
Chakraborti, S. [4 ,5 ]
机构
[1] Univ Nantes, IRCCyN UMR CNRS 6597, LUNAM Univ, Nantes, France
[2] Wuhan Univ Technol, Sch Logist Engn, Wuhan 430070, Peoples R China
[3] Univ Sains Malaysia, Sch Math Sci, George Town, Malaysia
[4] Univ Alabama, Dept Informat Syst Stat & Management Sci, Tuscaloosa, AL USA
[5] Univ Pretoria, Dept Stat, ZA-0002 Pretoria, South Africa
关键词
unknown parameter; attribute control chart; Poisson; phases I and II; binomial; average run length; synthetic chart; Markov chain; MONITORING PROCESS DISPERSION; RUN-LENGTH DISTRIBUTIONS; (X)OVER-BAR CHARTS; STANDARD-DEVIATION; CONTROL LIMITS; PERFORMANCE; VARIANCE;
D O I
10.1002/qre.1576
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The performance of attributes control charts (such as c and np charts) is usually evaluated under the assumption of known process parameters (i.e., the nominal proportion of nonconforming units or the nominal number of nonconformities). However, in practice, these process parameters are rarely known and have to be estimated from an in-control phase I data set. In this paper, we derive the run length properties of the phase II synthetic c and np charts with estimated parameters, and we investigate the number m of phase I samples that would be necessary for these charts in order to obtain similar in-control average run lengths as in the known parameters case. We also propose new specific chart parameters that allow these charts to have approximately the same in-control average run lengths as the ones obtained in the known parameter case. Copyright (c) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:315 / 335
页数:21
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