Advances in Production Engineering & Management
Volume 9 | Number 1 | March 2014 | pp 44–52
http://dx.doi.org/10.14743/apem2014.1.175
Performance metrics for testing statistical calculations in interlaboratory comparisons
Acko, B.; Sluban, B.; Tasič, T.; Brezovnik, S.
ABSTRACT AND REFERENCES (PDF) |
FULL ARTICLE TEXT (PDF)
A B S T R A C T
Interlaboratory comparisons are the most powerful tools for determining the
competences of laboratories performing calibrations and testing. Performance
metrics is based on statistical analysis, which can be very complex in
certain cases, especially for testing where transfer standards (samples) are
prepared by the pilot laboratory. Statistical quantities are calculated using
different kinds of software, from simple Excel applications to universal or
specific commercial programmes. In order to ensure proper quality of such
calculations, it is very important that all computational links are recognized
explicitly and known to be operating correctly. In order to introduce a traceability
chain into metrology computation, the European project EMRP NEW
06 TraCIM was agreed between the EC and the European Metrology Association
(EURAMET). One of the tasks of the project was also to establish random
datasets and validation algorithms for verifying software applications in
regard to evaluating interlaboratory comparison results. The statistical backgrounds
for resolving this task, and the basic concept of the data generator
are presented in this paper. Background normative documents, calculated
statistical parameters, boundary conditions for generating reference data sets
are described, as well as customer interface.
A R T I C L E I N F O
Keywords • Interlaboratory comparisons, Data generator, Software validation
Corresponding author • Acko, B.
Article history • Received 5 September 2013, Revised 17 January 2014, Accepted 10 February 2014
Published on-line • 12 March 2014
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