Multivariate multiple sampling charts

REFERENCES

• Alt , F. B. 1984 . “ Multivariate quality control ” . In The Encyclopedia of Statistical Sciences , Edited by: Koltz , S. , Johnson , N. L. and Read , C. R. pp. 110 – 122 . New York, NY : Wiley .
   Google Scholar
• Aparisi , F. 1996 . Hotelling's T 2 control charts with adaptive sample sizes . International Journal of Production Research , 34 ( 10 ) : 2853 – 2862 .
   Web of Science ®Google Scholar
• Aparisi , F. and Haro , S. 2003 . A comparison of T 2 control charts with variable sampling schemes as opposed to MEWMA chart . International Journal of Production Research , 41 ( 10 ) : 2169 – 2182 . [CROSSREF]
   Web of Science ®Google Scholar
• Constable , G. K. , Cleary , M. J. , Tickel , C. and Zhang , G. X. 1988 . “ Use of cause-selecting charts in the auto industry ” . In ASQC Quality Congress Transactions pp. 597 – 602 . Dallas, TX
   Google Scholar
• Constable , G. K. , Cleary , M. J. and Zhang , G. X. 1987 . “ Cause selecting control charts: a new type of quality control charts ” . In ASQC Quality Congress Transactions pp 16 – 21 . Minneapolis, MN
   Google Scholar
• Crosier , R. B. 1988 . Multivariate generalizations of cumulative sum quality control schemes . Technometrics , 30 ( 3 ) : 291 – 303 .
   Web of Science ®Google Scholar
• Daudin , J. J. 1992 . Double sampling X-bar charts . Journal of Quality Technology , 24 ( 2 ) : 78 – 87 .
   Web of Science ®Google Scholar
• Goldberg , D. E. 1989 . Genetic Algorithms in Search, Optimization, and Machine Learning , Reading, MA : Addison-Wesley .
   Google Scholar
• Hawkins , D. M. 1991 . Multivariate quality control based on regression–adjusted variables . Technometrics , 33 : 291 – 303 .
   Web of Science ®Google Scholar
• Hawkins , D. M. 1993 . Regression adjustment for variables in multivariate quality control . Journal of Quality Technology , 25 : 170 – 182 .
   Web of Science ®Google Scholar
• He , D. and Grigoryan , A. 2002 . Construction of double sampling s-control charts for agile manufacturing . Quality & Reliability Engineering International , 18 ( 4 ) : 343 – 355 . [CROSSREF]
   Web of Science ®Google Scholar
• He , D. and Grigoryan , A. 2003 . An improved double sampling s chart . International Journal of Production Research , 41 ( 12 ) : 2663 – 2679 . [CROSSREF]
   Web of Science ®Google Scholar
• He , D. , Grigoryan , A. and Sigh , M. 2002 . Design of double and triple-sampling X-bar control charts using genetic algorithms . International Journal of Production Research , 40 ( 6 ) : 1387 – 1404 . [CROSSREF]
   Web of Science ®Google Scholar
• Healy , J. D. 1987 . A note on multivariate CUSUM procedures . Technometrics , 29 : 409 – 412 .
   Web of Science ®Google Scholar
• Holland , J. H. 1975 . Adaptation in Natural and Artificial Systems , Ann Arbor, MI : University of Michigan Press .
   Google Scholar
• Hotelling , H. 1947 . “ Multivariate quality control ” . In Techniques of Statistical Analysis , Edited by: Eisenhart , C. , Hastay , M. W. and Wallis , W. A. pp. 111 – 184 . New York : McGraw Hill .
   Google Scholar
• Jackson , J. E. 1985 . Multivariate quality control . Communications in Statistics—Theory and Methods , 14 : 2657 – 2688 .
   Web of Science ®Google Scholar
• Lowry , C. A. and Montgomery , D. 1995 . A review of multivariate control charts . IIE Transactions , 27 : 800 – 810 .
   Web of Science ®Google Scholar
• Lowry , C. A. , Woodall , W. H. , Champ , C. W. and Rigdon , S. E. 1992 . A multivariate exponentially weighted moving average control chart . Technometrics , 32 ( 1 ) : 46 – 53 .
   Web of Science ®Google Scholar
• Palisade Corporation . 1998 . Evolver: The Genetic Algorithm Super Solver , Newfield, NY : Palisade Corporation .
   Google Scholar
• Pham , D. T. and Pham , P. T.N. 1999 . Artificial intelligence in engineering . International Journal of Machine Tools & Manufacture , 39 ( 6 ) : 937 – 949 . [CROSSREF]
   Web of Science ®Google Scholar
• Pignatiello , J. and Runger , G. 1990 . Comparisons of multivariate CUSUM charts . Journal of Quality Technology , 22 : 173 – 186 .
   Web of Science ®Google Scholar
• Potgieter , E. and Stander , N. 1998 . Genetic algorithm applied to stiffness maximization of laminated plates: review and comparison . Structural Optimization , 15 ( 3/4 ) : 221 – 229 . [CROSSREF]
   Web of Science ®Google Scholar
• Prabhu , S. S. and Runger , G. C. 1997 . Designing a multivariate EWMA control chart . Journal of Quality Technology , 29 : 8 – 15 .
   Web of Science ®Google Scholar
• Rao , S. S. 1996 . Engineering Optimization: Theory and Practice , New York, NY : Wiley .
   Google Scholar
• Vinterbo , S. and Ohno-Machado , L. 2000 . Genetic algorithm approach to multidisorder diagnosis . Artificial Intelligence in Medicine , 18 ( 2 ) : 117 – 132 . [PUBMED] [INFOTRIEVE] [CSA] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Woodall , W. H. and Ncube , M. M. 1985 . Multivariate CUSUM quality control procedures . Technometrics , 27 : 285 – 292 .
   Web of Science ®Google Scholar
• Yashchin , E. 1987 . Some aspects of the theory of statistical control schemes . IBM Journal of Research and Development , 31 : 199 – 205 . [CSA]
   Web of Science ®Google Scholar