A Problem Called ISO 2859-1 Sampling Procedures for Inspection by Attributes - Part 1

Elart von Collani
Additional contact information
Elart von Collani: University of Würzburg, Sanderring 2, D-97070 Würzburg, Germany

Stochastics and Quality Control, 2004, vol. 19, issue 2, 265-276

Abstract: Controlling uncertainty has an ever-increasing importance in all areas of industry. To meet the demand, the International Organisation of Standardization (ISO) developed and develops “statistical” standards. However, while success and failure of technical standards can be assessed rather easily, this is different with statistical methods because of randomness. Moreover, rationale and purpose of statistical methods are often vague. This paper analyzes one of the most frequently applied statistical standards namely ISO 2859-1 (1999). The aim of this investigation isto compare the purpose of ISO 2859-1 with industrial needs,to evaluate clearness and comprehensibility of its presentation,to check whether it represents the state of the art and a framework for future technological development.It turns out that the purpose of ISO 2859-1 is obsolete, that the formulation is ambiguous, that it does not represent the state of the art and finally that it hinders necessary future technological development in the field.

Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/EQC.2004.265 (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:19:y:2004:i:2:p:265-276:n:11

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

DOI: 10.1515/EQC.2004.265

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 ().