Version 1
: Received: 1 June 2022 / Approved: 2 June 2022 / Online: 2 June 2022 (10:59:47 CEST)
How to cite:
Uhlig, S.; Colson, B.; Göb, R.; Gowik, P. Application of the Bayesian Conformity Assessment Framework from JCGM 106:2012 for Lot Inspection on the Basis of Single Items. Preprints2022, 2022060032. https://doi.org/10.20944/preprints202206.0032.v1
Uhlig, S.; Colson, B.; Göb, R.; Gowik, P. Application of the Bayesian Conformity Assessment Framework from JCGM 106:2012 for Lot Inspection on the Basis of Single Items. Preprints 2022, 2022060032. https://doi.org/10.20944/preprints202206.0032.v1
Uhlig, S.; Colson, B.; Göb, R.; Gowik, P. Application of the Bayesian Conformity Assessment Framework from JCGM 106:2012 for Lot Inspection on the Basis of Single Items. Preprints2022, 2022060032. https://doi.org/10.20944/preprints202206.0032.v1
APA Style
Uhlig, S., Colson, B., Göb, R., & Gowik, P. (2022). Application of the Bayesian Conformity Assessment Framework from JCGM 106:2012 for Lot Inspection on the Basis of Single Items. Preprints. https://doi.org/10.20944/preprints202206.0032.v1
Chicago/Turabian Style
Uhlig, S., Rainer Göb and Petra Gowik. 2022 "Application of the Bayesian Conformity Assessment Framework from JCGM 106:2012 for Lot Inspection on the Basis of Single Items" Preprints. https://doi.org/10.20944/preprints202206.0032.v1
Abstract
The ISO 2859 and ISO 3951 series provide acceptance sampling procedures for lot inspection, allowing both sample size and acceptance rule to be determined, starting from a specific value either for the consumer or producer risk. However, insufficient resources often make it difficult to implement “ISO sampling plans.” In cases where the sample size is determined by external constraints, the focus shifts from determining sample size to determining consumer and producer risks. Moreover, if the sample size is very low (e.g. one single item), prior information should be included in the statistical analysis. For this reason, it makes sense to work within a Bayesian theoretical framework, such as that described in JCGM 106. Accordingly, the approach from JCGM 106 is adopted and broadened so as to allow application to lot inspection. The discussion is based on a “real-life” example of lot inspection on the basis of a single item. Starting from simple assumptions, expressions for both the prior and posterior distributions are worked out, and it is shown how the concepts from JCGM 106 can be reinterpreted in the context of lot inspection. Conceptual differences regarding the definition of consumer and producer risks in JCGM 106 and in the ISO acceptance sampling standards are elucidated and a numerical example is provided.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
