PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Some notes on multivariate statistical process control

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the article some features of multivariate statistical process control were introduced. Advantages and disadvantages of multivariate control charts (Hotelling charts) - counterpart of traditional Shewhart control charts in multivariate space - were also shown. The author pointed out the advantage of Hotelling charts over traditional ones in some situations. The main part of the paper is a multivariate surveillance procedure based on the division on two stages: Phase I (phase of stabilization) and Phase II (phase of monitoring). After describing some elements of multivariate statistical process control implementation (considered from the methodological point of view) author introduced two most popular control charts used in industrial practice: control charts for individual observations and for means. The article is summarized by some author's conclusions concerning popularity of multivariate surveillance and future directions of his work.
Twórcy
  • Poznan University of Technology, Chair of Management and Production Engineering, ul. Piotrowo 3, 61-131 Poznań, Poland, phone: +48 61 665 27 98, michal.rogalewicz@put.poznan.pl
Bibliografia
  • [1] Hamrol A., Quality control with examples, PWN, Warszawa, 2008.
  • [2] Hotelling H., Multivariate Quality Control Illustrated by Air Testing of Sample Bombsights, C. Eisenhart et al., 111-184, 1947.
  • [3] Mason R.L., Young J.C., Multivariate Statistical Process Control with Industrial Applications, ASASIAM, Philadelphia, 2002.
  • [4] Shahriari H., Abdollahzadeh M., A new multivariate process capability vector, Quality Engineering, 21, 290-299, 2009.
  • [5] Hawkins D.M., Multivariate quality control based on regression-adjusted variables, Technometrics, 33(1), 61-75, 1991.
  • [6] Hawkins D.M., Regression adjustment for variables in multivariate quality control, Journal of Quality Technology, 25(3), 170-182, 1993.
  • [7] Mason R.L., Tracy N.D., Young C.H., Decomposition of T2 for multivariate control chart interpretation, Journal of Quality Technology, 27(2), 99-108, 1995.
  • [8] Mason R.L., Tracy N.D., Young J.C., A practical approach for interpreting multivariate T2 control chart signals, Journal of Quality Technology, 29(4), 396-406, 1997.
  • [9] Ryan T., Statistical methods for quality improvement, Wiley, 2011.
  • [10] Lowry C.A., Woodall W.H., Champ C.W., Rigdon S.E., A multivariate exponentially weighted moving average control chart, Technometrics, 34, 46-53, 1992.
  • [11] Pigniatello R., Runger G., Comparisons of multivariate CUSUM charts, Journal of Quality Technology, 22(3), 173-186, 1990.
  • [12] Fuchs C., Kenett R., Multivariate quality control. Theory and applications, Quality and Reliability 64, M. Dekker Inc., New York, 1998.
  • [13] Li P., Wang X., Wang O., Approach to using MSPC for power plant process monitoring and fault diagnosis, Huagong Xuebao/Journal of Chemical Industry and Engineering, 59(7), 1790-1796, 2008.
  • [14] Kourti T., Lee J., MacGregor J., Experiences with industrial applications of projection methods for multivariate statistical process control, Computers and chemical engineering, 20, 747-752, 1996.
  • [15] Lahman-Schalem S., Haimovitch N., Shauly E., Daniel R., MBPCA for fault detection in NMOS fabrication, IEEE Transactions on Semiconductor Manufacturing, 15(1), 60-69, 2002.
  • [16] Chrysler, Ford, General Motors, Statistical Process Control (SPC) reference manual, Second Edition, 2005.
  • [17] Rogalewicz M., Kujawińska A., Traditional or multivariate SPC - what to choose?, Conf. Management of Technology Step to Sustainable Production, Rovinj (Croatia), 2-4.06.10, Conference Proceedings - [CD-ROM].
  • [18] Yang K., Trewn J., Multivariate statistical methods in quality management, Mc Graw-Hill, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAR0-0070-0008
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.