Eliminating the influence of serial correlation on statistical process control charts using trend free pre-whitening (TFPW) method

Nor Hasliza Mat Desa, Abdul Aziz Jemain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A key assumption in traditional statistical process control (SPC) technique is based on the requirement that observations or time series data are normally and independently distributed. The presences of a serial autocorrelation results in a number of problems, including an increase in the type I error rate and thereby increase the expected number of false alarm in the process observation. However, the independency assumption is often violated in practice due to the influence of serial correlation in the observation. Therefore, the aim of this paper is to demonstrate with the hospital admission data, the influence of serial correlation on the statistical control charts. The trend free pre-whitening (TFPW) method has been used and applied as an alternative method to obtain residuals series which are statistically uncorrelated to each other. In this study, a data set of daily hospital admission for respiratory and cardiovascular diseases was used from the period of 1 January 2009 to 31 December 2009 (365 days). Result showed that TFPW method is an easy and useful method in removing the influence of serial correlation from the hospital admission data. It can be concluded that statistical control chart based on residual series perform better compared to original hospital admission series which influenced by the effects of serial correlation data.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Pages1049-1054
Number of pages6
Volume1571
DOIs
Publication statusPublished - 2013
Event2013 UKM Faculty of Science and Technology Post-Graduate Colloquium - Selangor
Duration: 3 Jul 20134 Jul 2013

Other

Other2013 UKM Faculty of Science and Technology Post-Graduate Colloquium
CitySelangor
Period3/7/134/7/13

Fingerprint

charts
trends
respiratory diseases
data correlation
false alarms
autocorrelation
requirements

Keywords

  • Autocorrelation
  • Hospital admission
  • Pre-whitening
  • Statistical process control
  • Trend

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Eliminating the influence of serial correlation on statistical process control charts using trend free pre-whitening (TFPW) method. / Desa, Nor Hasliza Mat; Jemain, Abdul Aziz.

AIP Conference Proceedings. Vol. 1571 2013. p. 1049-1054.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Desa, NHM & Jemain, AA 2013, Eliminating the influence of serial correlation on statistical process control charts using trend free pre-whitening (TFPW) method. in AIP Conference Proceedings. vol. 1571, pp. 1049-1054, 2013 UKM Faculty of Science and Technology Post-Graduate Colloquium, Selangor, 3/7/13. https://doi.org/10.1063/1.4858792
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