T2 Control Chart; Economic Design; Markov chain and genetic algorithm
Abstract :
[en] The Hotelling’s T2 control chart, is the most widely used multivariate procedure for
two or more related quality characteristics, but it’s power lacks the desired performance in detecting
small to moderate shifts. Recently, the variable sampling intervals (VSI) control scheme in
which the length of successive sampling intervals is determined upon the preceding T2 values has
been proved to have a very good performance on detecting small to moderate shifts when it is
compared to the original T2 control chart . Moreover, it has been shown that the VSI scheme is
more economical than the classical one. This paper studies the economic consequences of a new
control scheme named variable sampling intervals and control limits (VSICL) in that the sampling
interval h and control limit k vary between minimum and maximum values while keeping the sample
size fixed over time. We apply the cost model proposed by Costa and Rahim [8]. Furthermore,
we assume that the length of time that the process remains in control is exponentially distributed
which allows us to apply the Markov chain approach for developing the cost model. We apply
genetic algorithm to determine the optimal values of model parameters by minimizing the cost
function. Finally, both VSI and VSICL T2 control charts are compared with respect to the expected
cost per unit time.
Disciplines :
Quantitative methods in economics & management
Author, co-author :
torabian, Mohsen; Islamic Azad University of Takestan, Qazvin, Iran > Department of Mathematics
Moghadam, M. B.; Allameh Tabatabaee University, Tehran, Iran > Dept. of Statistics,
Faraz, Alireza ; Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie
Language :
English
Title :
ECONOMICALLY DESIGNED HOTELLING’S T2 CONTROL CHART USING VSICL SCHEME
Publication date :
November 2010
Journal title :
Arabian Journal for Science and Engineering
ISSN :
0377-9211
Publisher :
King Fahd University of Petroleum and Minerals, Chichester, United Kingdom
F. Aparasi and C. L. Haro, Hotelling's T2 control chart with variable sampling intervals, International Journal of Production Research 39 (2001), 3127-3140.
D. S. Bai and K. T. Lee, An economic design of variable sampling interval X-bar control charts, International Journal of Production Economics 54 (1998), 57-64.
Y. K. Chen, Economic design of X-bar control charts for non-normal data using variable sampling policy, International Journal of Production Economics 92 (2004), 61-74.
Y. K. Chen, Economic design of variable sampling interval T2 control charts-A hybrid Markov chain approach with genetic algorithms, Expert Systems with Applications (2006-a)DOI:10.1016/j. eswa. 2006. 06. 007.
Y. K. Chen, Economic design of T2 control charts with the VSSI sampling scheme, Quality and Quantity (2006-b) DOI:10.1007/s11135-007-9101-7.
C. Y. Chou, C. H. Chen and C. H. Chen, Economic design of variable sampling intervals T2 control charts using genetic algorithms, Expert Systems Appl. 30 (2006), 233-242.
W. K. Chui, Economic design of attribute control charts, Technometrics 17 (1975), 81-87.
A. F. B. Costa and M. A. Rahim, Economic design of X charts with variable parameters: the Markov chain approach, J. Appl. Stat. 28 (2001), 875-885.
R. Q. Cui and Jr. M. R. Reynolds, X charts with runs rules and variable sampling intervals, Common. in Statist.-Simulation Comput. 17 (1988), 1073-1093.
A. J. Duncan, The economic design of X charts used to maintain current control of a process sampling intervals, Journal of American Statistical Association 51 (1956), 228-242.
A. Faraz and A. Parsian, Hotelling's T2 control chart with double warning lines, Statistical Paper 43 (2006), 569-593.
A. Faraz and M. B. Moghadam, Hotelling's T2 control chart with two-state adaptive sample size, Quality and Quantity, International Journal of Methodology (2008) DOI:10.1007/s11135-008-9167-x.
A. Faraz, K. Chalaki and M. B. Moghadam, On the properties of the Hotelling's T2 control chart with variable sampling intervals, Quality and Quantity, International Journal of Methodology (2010).
A. Faraz, E. Saniga and R. B. Kazamzadeh, Economic and economic statistical design of T2 control chart with two-adaptive sample sizes, J. Stat. Comput. Simul. (2009) DOI: 10.1080/00949650903062574.
A. Faraz and E. Saniga, A unification and some corrections to Markov chain approaches to develop variable ratio sampling scheme control charts, Statistical Papers (2009) DOI 10.1007/s00362-009-0288-7.
A. Faraz and E. Saniga, Economic statistical design of A T2 control chart with double warning lines, Quality and Reliability Engineering International (2010), forthcoming.
H. Hotelling, Multivariate quality control-Illustrated by the air testing of sample bombsights. Techniques of Statistical Analysis, Eisenhart, C., Hastay, M. W., Wallis, W. A. (eds), New York: MacGraw-Hill, 1947.
C. A. Lowry and D. C. Montgomery, Review of multivariate control charts, IIE Transactions 27 (1995), 800-810.
R. L. Mason and J. C. Young, Multivariate statistical process control with industrial applications. ASASIAM, Philadelphia, PA, 2002.
D. C. Montgomery, The economic design of control charts: a review and literature survey, Journal of Quality Technology 12 (1980), 75-87.
D. C. Montgomery and P. J. Klatt, Economic design of T2 control charts to maintain current control of a process, Management Science 19 (1972), 76-89.
Jr. M. R. Reynolds, R. W. Amin, J. C. Arnolds and J. A. Nachlas, X chart with variable sampling intervals, Technometrics 30 (1988), 181-192.
Jr. M. R. Reynolds and J. C. Arnolds, Optimal one-side Shewhart control charts with variable sampling interval, Sequential Anal. 8 (1989), 51-77.
E. M. Saniga, Economic statistical control chart designs with an application to X and R charts, Technometrics 31 (1989), 313-320.
W. H. Woodall, Weaknesses of the economical design of control charts, Technometrics 28 (1986), 408-409.