Monitoring the process mean based on attribute inspection when a small sample is available

Roberto da Costa Quinino, Linda Lee Ho and Anderson Laécio Galindo Trindade
Additional contact information
Roberto da Costa Quinino: Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Linda Lee Ho: Universidade de São Paulo, São Paulo, Brazil
Anderson Laécio Galindo Trindade: Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

Journal of the Operational Research Society, 2015, vol. 66, issue 11, 1860-1867

Abstract: This paper proposes a new control chart, denoted by to evaluate the stability of a process mean when a small sample is available. This chart is based on attribute inspection rather than the physical measurements (taken with an instrument, such as a caliper or precision balance) of the quality characteristics of interest of the sampled items. The main goal is to recover measurements on a continuous scale by generating random measurements using the frequencies observed for the sample as inputs. The average sample obtained using these recovery measures () is calculated and used to draw the standard chart. The average sample can be shown to be a mixture of normal distributions. The values of the lower control limit (LCL) and the upper control limit (UCL) are chosen to minimize the average run length (ARL).

Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.palgrave-journals.com/jors/journal/v66/n11/pdf/jors2014102a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/jors/journal/v66/n11/full/jors2014102a.html Link to full text HTML (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:pal:jorsoc:v:66:y:2015:i:11:p:1860-1867

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().