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Design of an Internal Methodology for MSA of Attributive Data in the Company
Jaroš, David ; Maradová, Karla (referee) ; Sámelová, Vendula (advisor)
This diploma thesis deals with the design of an internal methodology for MSA of attributive data in the company following a finding in the IATF 16949:2016 audit. The thesis text aims to map the current trends in approaches to attributional MSA analysis with a focus on visual inspection. Based on the theoretical findings, a new company methodology is to be subsequently proposed. The defined aims of this thesis were fulfilled, resulting in a methodology that meets the company's requirements as well as the methods described in the relevant manuals. The proposed methodology uses the cross-tab method, which describes the analysis of attributional data without knowledge of the reference. The result of the analysis are kappa coefficients, which determine the measure of agreement in the evaluation, and efficiency values of the measurement system. By following the principles described in this thesis, it is possible to generalize the proposed methodology for use in other companies.
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Measurement System Analysis for Attributes
Širjovová, Zuzana ; Martišek, Karel (referee) ; Bednář, Josef (advisor)
Method Measurement system analysis or MSA is very exploited method for determination of the number of same and different produces today. Assesment of rightness of measurement system is often used but on the other hand it is mathematically deficiently catched up. The measurement systems analysis is more necessary, if a production system and the produce are very complex and advanced. Therefore requierement of MSA use in different types of industry is very common. MSA for attributes is the basic subject of my bachelor thesis. Complete MSA for attributes will be shown here with collecting datas and then their processings and evaluations. Software MINITAB 15 will be used for this procedure. The bachelor’s thesis was supported by project from MSTM of the Czech Republic no. 1M06047 Center for Quality and Reliability of Production.
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Design of an Internal Methodology for MSA of Attributive Data in the Company
Jaroš, David ; Maradová, Karla (referee) ; Sámelová, Vendula (advisor)
This diploma thesis deals with the design of an internal methodology for MSA of attributive data in the company following a finding in the IATF 16949:2016 audit. The thesis text aims to map the current trends in approaches to attributional MSA analysis with a focus on visual inspection. Based on the theoretical findings, a new company methodology is to be subsequently proposed. The defined aims of this thesis were fulfilled, resulting in a methodology that meets the company's requirements as well as the methods described in the relevant manuals. The proposed methodology uses the cross-tab method, which describes the analysis of attributional data without knowledge of the reference. The result of the analysis are kappa coefficients, which determine the measure of agreement in the evaluation, and efficiency values of the measurement system. By following the principles described in this thesis, it is possible to generalize the proposed methodology for use in other companies.
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Measurement System Analysis for Attributes
Širjovová, Zuzana ; Martišek, Karel (referee) ; Bednář, Josef (advisor)
Method Measurement system analysis or MSA is very exploited method for determination of the number of same and different produces today. Assesment of rightness of measurement system is often used but on the other hand it is mathematically deficiently catched up. The measurement systems analysis is more necessary, if a production system and the produce are very complex and advanced. Therefore requierement of MSA use in different types of industry is very common. MSA for attributes is the basic subject of my bachelor thesis. Complete MSA for attributes will be shown here with collecting datas and then their processings and evaluations. Software MINITAB 15 will be used for this procedure. The bachelor’s thesis was supported by project from MSTM of the Czech Republic no. 1M06047 Center for Quality and Reliability of Production.
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