Stochastics in the Manufacture and Operation of Fuel Assemblies for Nuclear Power Plants

Baur Karl
Additional contact information
Baur Karl: E.ON Kernkraft GmbH, Tresckowstraße 5, 30457 Hannover, Germany

Stochastics and Quality Control, 2005, vol. 20, issue 1, 41-50

Abstract: Statistical tools are believed to be essential for competent quality judgements in the field of nuclear technology as well as in other branches of industry. In comprehensive quality management, these tools comprise not only well-known statistical procedures of quality control for fuel assembly production, but also methods for fuel rod design. Procedures which are set out in standards or directives are generally used in practice. This seems to be appropriate as in almost all statistical textbooks and publications the impression is given that in statistics some few standard methods are sufficient in practice just like cooking recipes in the kitchen. However, standard methods cannot take into due account the diversity and complexity of situations and, thus, lead almost inevitably to inappropriate results and false interpretations. It follows that in general statistical standard methods should not be part of a strategy of continuous quality improvement. This paper describes by means of several examples the problems which occur in the field of nuclear technology and illustrates the need that the different quality assurance measures must be organized so as to complement each other, thereby increasing the total efficiency.

Date: 2005
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/EQC.2005.41 (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:20:y:2005:i:1:p:41-50:n:6

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

DOI: 10.1515/EQC.2005.41

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 ().