<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article presents an authorship version of the analysis procedure of data set from MSA Attribute Study for the purposes related to the reduction of conformity assessment errors and improvement of production process effectiveness. The MSA manual does not include any clear guidelines on how to eliminate errors or guidelines on how to analyse data sets from attribute study to eliminate errors. The article attempts to fill the gap identified in this field. In this article (Part 1), the author outlines the key features of own methodology of analysis data from MSA attribute study. In this article, which is one of the two parts, a research problem has been identified. It was emphasised that the influence on the reduction of the effectiveness of the production process have errors committed by the controllers in the alternative assessment of the product’s conformity with the requirements, i.e. errors of I and II type, in particular, II type errors, which should be first eliminated. A traditional approach to research analysis and evaluation of alternative inspection system practised in the MSA manual was presented. Four key assumptions that were adopted for the research goal were presented. Author’s procedure for analysis of errors from the attribute study data set is to point to the direction of activities in the field of error analysis, emphasise intolerance to any error, assume to use the root causes analysis and the coaching sessions to reach the root causes of conformity errors. In the second, final article in the series (Part 2), the author illustrates how, step by step, the procedure could be used in practice. It also presents the advantages and limitations of its own procedure.</p></abstract>

The article presents an authorship version of the analysis procedure of data set from MSA Attribute Study for the purposes related to the reduction of conformity assessment errors and improvement of production process effectiveness. The MSA manual does not include any clear guidelines on how to eliminate errors or guidelines on how to analyse data sets from attribute study to eliminate errors. The article attempts to fill the gap identified in this field. In this article (Part 1), the author outlines the key features of own methodology of analysis data from MSA attribute study. In this article, which is one of the two parts, a research problem has been identified. It was emphasised that the influence on the reduction of the effectiveness of the production process have errors committed by the controllers in the alternative assessment of the product’s conformity with the requirements, i.e. errors of I and II type, in particular, II type errors, which should be first eliminated. A traditional approach to research analysis and evaluation of alternative inspection system practised in the MSA manual was presented. Four key assumptions that were adopted for the research goal were presented. Author’s procedure for analysis of errors from the attribute study data set is to point to the direction of activities in the field of error analysis, emphasise intolerance to any error, assume to use the root causes analysis and the coaching sessions to reach the root causes of conformity errors. In the second, final article in the series (Part 2), the author illustrates how, step by step, the procedure could be used in practice. It also presents the advantages and limitations of its own procedure.

Analysis Procedure of Inspection Errors Based on MSA Attribute Study Data Set for the Improvement Purposes: Part 1 – Methodolodgy

Conference Quality Production Improvement – CQPI

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The article presents an authorship version of the analysis procedure of data set from MSA Attribute Study for the purposes related to the reduction of...

Analysis Procedure of Inspection Errors Based on MSA Attribute Study Data Set for the Improvement Purposes: Part 1 – Methodolodgy

Publié en ligne: 27 oct. 2020

Pages: 150 - 161

Reçu: 29 juin 2020

Accepté: 30 juil. 2020

DOI: https://doi.org/10.2478/cqpi-2020-0017

Mots clés
Attribute MSA Study, errors in inspection, procedure, key assumptions

© 2020 Krzysztof Knop, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Analysis Procedure of Inspection Errors Based on MSA Attribute Study Data Set for the Improvement Purposes: Part 1 – Methodolodgy

Publié en ligne: 27 oct. 2020

Pages: 150 - 161

Reçu: 29 juin 2020

Accepté: 30 juil. 2020

DOI: https://doi.org/10.2478/cqpi-2020-0017

Mots clésAttribute MSA Study, errors in inspection, procedure, key assumptions

© 2020 Krzysztof Knop, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Attribute MSA Study, errors in inspection, procedure, key assumptions