A Practical Procedure for Developing p-Charts

Wagner Bret J. and Golhar Damodar Y.
Additional contact information
Wagner Bret J.: Department of Management, Haworth College of Business, Western Michigan University, Kalamazoo, MI 49008 USA
Golhar Damodar Y.: Department of Management, Haworth College of Business, Western Michigan University, Kalamazoo, MI 49008 USA

Stochastics and Quality Control, 2006, vol. 21, issue 1, 13-29

Abstract: The question of how to determine an appropriate sample size n for an attribute control chart has been the subject of a number of research papers. Unfortunately, this stream of research has neither produced tools that are easy to understand, nor it does provide a manager with a good understanding of the tradeoffs involved by the sample size decision. In this paper, we propose a practical method of determining an appropriate sample size that allows the manager to evaluate the tradeoffs between the ability to detect an out-of-control process, the probability of generating a “false alarm” and the sample size (which will determine the cost of implementing the sampling plan).

Date: 2006
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/EQC.2006.13 (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:21:y:2006:i:1:p:13-29:n:3

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

DOI: 10.1515/EQC.2006.13

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 ().