Int. J. Metrol. Qual. Eng.
Volume 10, 2019
|Number of page(s)||10|
|Published online||08 January 2019|
Data comparisons and uncertainty: a roadmap for gaining in competence and improving the reliability of results
University of Angers, LARIS-ISTIA, 62 avenue Notre Dame du Lac, 49000 Angers, France
2 INRIM, Istituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91, 10135 Torino, Italy
* Corresponding author: email@example.com
Accepted: 19 November 2018
This paper traces a roadmap for gaining in competence and for improving the reliability of results in a laboratory. The roadmap was built from the requirements concerning the results quality and measurement uncertainty, which accreditation bodies use for the accreditation of testing and calibration laboratories. In industry, accreditation is the accepted proof of a laboratory's assigned level of competence. The level of performance of a laboratory is demonstrated through the quality of its management of test and calibration results. Inter-laboratory comparisons and the evaluation of measurement uncertainties are recommended as the most appropriate methods for demonstrating continuous improvement in laboratories. The common methods used for data comparisons and for the evaluation of measurement uncertainties are highlighted. An overview of the main indicators used in data comparisons is presented. Some recommendations are made that are useful to the design of a roadmap for gaining in competence and for improving the quality of results obtained by a laboratory.
Key words: ISO/IEC 17025 Standard / laboratory / comparisons / proficiency testing / uncertainty / metrology / reliability of results / competence
© A. Charki and F. Pavese, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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