Open AccessUncertainty of measurement and conformity assessment
Author(s) -
Silvana Stajković,
Драган Василев,
Mirjana Dimitrijević,
Nedjeljko Karabasil
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/854/1/012093
Subject(s) - conformity , conformity assessment , measurement uncertainty , computer science , risk analysis (engineering) , property (philosophy) , value (mathematics) , acceptance testing , uncertainty analysis , data mining , reliability engineering , statistics , psychology , mathematics , machine learning , simulation , engineering , social psychology , business , philosophy , software engineering , epistemology , operating system
Knowledge of the measurement uncertainty of test results is fundamentally important for laboratories, their customers and all parties using and interpreting these results. In conformity assessment, a measurement result is used to decide if an item of interest conforms to a specified requirement. Because of measurement uncertainty, there is always the risk of incorrectly deciding whether or not an item conforms to a specified requirement based on the measured value of a property of the item. Conformity assessment can be quite challenging when the entity measured is so close to the tolerance limits of the specification that its uncertainty, however estimated, critically affects decision-making. In such cases, different decision rules can be used to make statements of conformity. The aim of this paper is to provide a survey of methods for the evaluation of measurement uncertainty in testing, as well as to stress the need for appropriate estimation of measurement uncertainty. This paper also aims to assist testing laboratories in understanding the different decision rules used in conformity assessment and level of risk (such as false accept and false reject) associated with the decision rule employed.