EconPapers    
Economics at your fingertips  
 

A unified approach to adaptive Shewhart control charts

Shashibhushan B. Mahadik

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 20, 10272-10293

Abstract: A completely adaptive (CA) X‾$\bar{X}$ chart, that is, an X‾$\bar{X}$ chart in which sampling interval, sample size, control limits, and warning limits are all adaptive and switch between two values, is explored. The exact expressions for the statistical and operational performance measures for this chart are derived. Obviously, these expressions are directly applicable to all the X‾$\bar{X}$ charts in which any one or more of the design parameters are adaptive and switch between two values, as those are particular cases of a CA X‾$\bar{X}$ chart. Thus, a CA X‾$\bar{X}$ chart provides a unified approach to explore all those charts. The simultaneous evaluation of all such charts through extensive numerical comparisons of their performances accentuated how each of the design parameters affects the chart performances when it is made adaptive. Also, the comparisons facilitated to determine the optimal adaptive X‾$\bar{X}$ charts for different situations in the sense of having the best overall performance. Investigation of a statistical design for a CA X‾$\bar{X}$ chart supported the inferences of the numerical comparisons.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2016.1235192 (text/html)
Access to full text is restricted to subscribers.

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:taf:lstaxx:v:46:y:2017:i:20:p:10272-10293

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2016.1235192

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:46:y:2017:i:20:p:10272-10293