Economic design of T2 control charts with the VSSI sampling scheme

T2 charts are used to monitor a process when more than one quality variable associated with process is being observed. Recent studies have shown that the T2 chart with variable sampling size and sampling interval (VSSI) detects a small shift in the process mean vector faster than the traditional T2 chart. The paper considers an economic design of the VSSI T2 chart, in which the expected hourly loss is constructed and regarded as an objective function for optimally determining the design parameters (i.e. the maximum/minimum sample size, the longest/shortest sampling interval, and the warning/action limits) in sampling-and-charting. Furthermore, the effects of process parameters and cost parameters upon the expected hourly loss and design parameters are examined.

[1]  Mohamed Ben-Daya,et al.  A generalized economic model for joint determination of production run, inspection schedule and control chart design , 1998 .

[2]  Francisco Aparisi,et al.  Hotelling's T2 control chart with adaptive sample sizes , 1996 .

[3]  David He,et al.  Design of double- and triple-sampling X-bar control charts using genetic algorithms , 2002 .

[4]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[5]  Douglas C. Montgomery,et al.  The Economic Design of Control Charts: A Review and Literature Survey , 1980 .

[6]  Acheson J. Duncan,et al.  The Economic Design of X Charts Used to Maintain Current Control of a Process , 1956 .

[7]  Douglas C. Montgomery,et al.  Economic Design of T2 Control Charts to Maintain Current Control of a Process , 1972 .

[8]  Antonio Fernando Branco Costa,et al.  Joint X̄ and R Charts with Variable Sample Sizes and Sampling Intervals , 1999 .

[9]  Frank B. Alt Multivariate Quality Control , 1984 .

[10]  J. E. Jackson Multivariate quality control , 1985 .

[11]  Francisco Aparisi,et al.  Optimization of univariate and multivariate exponentially weighted moving-average control charts using genetic algorithms , 2004, Comput. Oper. Res..

[12]  Francisco Aparisi,et al.  Hotelling's T2 control chart with variable sampling intervals , 2001 .

[13]  W. A. Wallis,et al.  Techniques of Statistical Analysis. , 1950 .

[14]  Francisco Aparisi,et al.  A comparison of T 2 control charts with variable sampling schemes as opposed to MEWMA chart , 2003 .

[15]  H. Hotelling,et al.  Multivariate Quality Control , 1947 .

[16]  Kenneth E. Case,et al.  The economic design of a dynamic X control chart , 1989 .

[17]  David He,et al.  Construction of double sampling s‐control charts for agile manufacturing , 2002 .

[18]  M. A. Rahim,et al.  A dynamic economic model for an x¯-control chart design , 1997 .

[19]  Douglas C. Montgomery,et al.  A review of multivariate control charts , 1995 .

[20]  M. A. Rahim,et al.  Economic design of x -control charts under Weibull shock models , 1988 .

[21]  T. W. Anderson An Introduction to Multivariate Statistical Analysis , 1959 .

[22]  Antonio Fernando Branco Costa,et al.  X̄ Chart with Variable Sample Size and Sampling Intervals , 1997 .

[23]  L. Breuer Introduction to Stochastic Processes , 2022, Statistical Methods for Climate Scientists.

[24]  T. W. Anderson,et al.  An Introduction to Multivariate Statistical Analysis , 1959 .

[25]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[26]  Kenneth E. Case,et al.  Economic Design of Control Charts: A Literature Review for 1981–1991 , 1994 .

[27]  Antonio Fernando Branco Costa,et al.  Economic design of X charts with variable parameters: The Markov chain approach , 2001 .

[28]  Chung-Ho Chen,et al.  Economic design of variable sampling intervals T2 control charts using genetic algorithms , 2006, Expert Syst. Appl..

[29]  J. Bert Keats,et al.  Economic Modeling for Statistical Process Control , 1997 .

[30]  Yan-Kwang Chen Economic design of X̄ control charts for non-normal data using variable sampling policy , 2004 .