<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In the first article in this series, the research methodology concerning the analysis of inspection errors based on MSA attribute study data set for the improvement purposes was presented. In the final article in the series, applying the methodology in practice step by step was presented. Instructions for correct performance of the analysis, in compliance with the author’s procedure, were determined. Both advantages and disadvantages of the developed approach were underlined.</p></abstract>

In the first article in this series, the research methodology concerning the analysis of inspection errors based on MSA attribute study data set for the improvement purposes was presented. In the final article in the series, applying the methodology in practice step by step was presented. Instructions for correct performance of the analysis, in compliance with the author’s procedure, were determined. Both advantages and disadvantages of the developed approach were underlined.

Analysis Procedure of Inspection Errors Based on MSA Attribute Study Data Set for the Improvement Purposes: Part 2 – Results and Discussion

Conference Quality Production Improvement – CQPI

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

In the first article in this series, the research methodology concerning the analysis of inspection errors based on MSA attribute study data set for the...

Analysis Procedure of Inspection Errors Based on MSA Attribute Study Data Set for the Improvement Purposes: Part 2 – Results and Discussion

Online veröffentlicht: 27. Okt. 2020

Seitenbereich: 162 - 171

Eingereicht: 20. Juni 2020

Akzeptiert: 22. Aug. 2020

DOI: https://doi.org/10.2478/cqpi-2020-0018

Schlüsselwörter
Attribute MSA Study, data analysis, improvement, pros and cons

© 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 2 – Results and Discussion

Online veröffentlicht: 27. Okt. 2020

Seitenbereich: 162 - 171

Eingereicht: 20. Juni 2020

Akzeptiert: 22. Aug. 2020

DOI: https://doi.org/10.2478/cqpi-2020-0018

SchlüsselwörterAttribute MSA Study, data analysis, improvement, pros and cons

© 2020 Krzysztof Knop, published by Sciendo

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

Schlüsselwörter
Attribute MSA Study, data analysis, improvement, pros and cons