Risk-aware decisions: Taking into account admissible risk and measurement uncertainty in setting the acceptance limits

Document JCGM 106:2012, encompassed in the ISO-IEC Guide 98-4, provides guidelines for comparing a measurement result with a tolerance interval, considering that, according to the Guide to the Expression of Uncertainty in Measurement (GUM), a measurement result is not a single value but rather a distribution of values. Therefore, the comparison does not always lead to a fully certain decision. In fact, when the distribution crosses the tolerance limits, there is a risk of making an incorrect decision. JCGM 106:2012 offers general recommendations about setting acceptance or rejection limits, without providing details on how to compute them under practical situations. This paper addresses most practical situations, considering cases of normal and non-normal distributions and cases where the distribution of values that can be reasonably be attributed to the measurand are obtained through Monte Carlo simulations. Additionally, it allows for considering any desired level of decision risk, which can be set based on the specific situation or application.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-04-07
DOI
https://doi.org/10.1051/epjconf/202532314002/pdf
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
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article

Risk-aware decisions: Taking into account admissible risk and measurement uncertainty in setting the acceptance limits

Harsha Vardhana Jetti, Sina Ronaghi, Alessandro Ferrero, Simona Salicone
Springer Link (Chiba Institute of Technology)
Scientific Measurement and Uncertainty Evaluation
article

Risk-aware decisions: Taking into account admissible risk and measurement uncertainty in setting the acceptance limits

Harsha Vardhana Jetti, Sina Ronaghi, Alessandro Ferrero, Simona Salicone
article en

Abstract

Document JCGM 106:2012, encompassed in the ISO-IEC Guide 98-4, provides guidelines for comparing a measurement result with a tolerance interval, considering that, according to the Guide to the Expression of Uncertainty in Measurement (GUM), a measurement result is not a single value but rather a distribution of values. Therefore, the comparison does not always lead to a fully certain decision. In fact, when the distribution crosses the tolerance limits, there is a risk of making an incorrect decision. JCGM 106:2012 offers general recommendations about setting acceptance or rejection limits, without providing details on how to compute them under practical situations. This paper addresses most practical situations, considering cases of normal and non-normal distributions and cases where the distribution of values that can be reasonably be attributed to the measurand are obtained through Monte Carlo simulations. Additionally, it allows for considering any desired level of decision risk, which can be set based on the specific situation or application.

Springer Link (Chiba Institute of Technology)
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Scientific Measurement and Uncertainty Evaluation
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