Statistical Performance of Control Charts

Govindaraju K.
Additional contact information
Govindaraju K.: Institute of Information Sciences and Technology, Massey University, Palmerston North, New Zealand

Stochastics and Quality Control, 2005, vol. 20, issue 1, 5-20

Abstract: Average run length is the most popular measure to assess the statistical performance of a control chart procedure. This paper discusses the limitations of the traditional average run length measure and introduces the concept of ‘unity’ average run length which is the ratio of the expected run length to the number of points plotted. The use of overall probability of acceptance for a set of plotted points is recommended as a supplementary performance measure. The background theory for using the overall probability acceptance is borrowed from the field of acceptance sampling. A discussion on how to improve the efficiency of the control chart signal rule is also made.

Keywords: Average run length; average sample number; control chart; single sampling plan (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1515/EQC.2005.5 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:ecqcon:v:20:y:2005:i:1:p:5-20:n:7

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html

DOI: 10.1515/EQC.2005.5

Access Statistics for this article

Stochastics and Quality Control is currently edited by George P. Yanev

More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().