EconPapers    
Economics at your fingertips  
 

Side sensitive group runs $$\bar{{X}}$$ X ¯ chart with estimated process parameters

H. You (), Michael Khoo (), P. Castagliola () and Yanjing Ou ()

Computational Statistics, 2015, vol. 30, issue 4, 1245-1278

Abstract: The Side Sensitive Group Runs (SSGR) $$\bar{{X}}$$ X ¯ chart integrates the $$\bar{{X}}$$ X ¯ chart and an extended version of the conforming run length chart. The SSGR $$\bar{{X}}$$ X ¯ chart was developed to detect changes in the process mean. The SSGR $$\bar{{X}}$$ X ¯ chart was proven to be effective for detecting small and moderate shifts compared with the $$\bar{{X}},$$ X ¯ , synthetic $$\bar{{X}}$$ X ¯ and group runs $$\bar{{X}}$$ X ¯ charts, when process parameters are known. However, in reality, process parameters, such as the in-control mean and standard deviation are rarely known. Therefore, these process parameters are estimated from an in-control Phase I dataset. In this article, we investigate the performance of the SSGR $$\bar{{X}}$$ X ¯ chart, based on the average run length criterion, when process parameters are estimated. It is shown that differences in the chart’s performance exist, when process parameters are known and when they are estimated, due to the variability in estimating the process parameters. A study is conducted to find the minimum number of Phase I samples required (based on several sample sizes) so that the SSGR $$\bar{{X}}$$ X ¯ chart with estimated process parameters behaves approximately the same as its known process parameters counterpart. To facilitate process monitoring and to avoid the need to use large number of samples in the Phase I process, this research develops an optimization procedure using the Scicoslab program to find suitable optimal charting parameters of the SSGR $$\bar{{X}}$$ X ¯ chart with estimated process parameters. This program can be requested from the first author. Copyright Springer-Verlag Berlin Heidelberg 2015

Keywords: Estimation of process parameters; Side sensitive group runs $$\bar{{X}}$$ X ¯ chart; Group runs $$\bar{{X}}$$ X ¯ chart; Synthetic $$\bar{{X}}$$ X ¯ chart; $$\bar{{X}}$$ X ¯ chart; Conforming run length (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s00180-015-0573-y (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:spr:compst:v:30:y:2015:i:4:p:1245-1278

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2

DOI: 10.1007/s00180-015-0573-y

Access Statistics for this article

Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:compst:v:30:y:2015:i:4:p:1245-1278