Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional Autónoma de México
2013
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| _version_ | 1876439220661256192 |
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| author | Tsu-Ming Yeh |
| author_facet | Tsu-Ming Yeh |
| contents | Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis Tsu-Ming Yeh Jia-Jeng Sun Ingeniería monte carlo simulation Measurement system analysis gauge repeatability and reproducibility Measurements are required to maintain the consistent quality of all finished and semi-finished products in a production line. Many firms in the automobile and general precision industries apply the TS 16949:2009 Technical Specifications and Measurement System Analysis (MSA) manual to establish measurement systems. This work is undertaken to evaluate gauge repeatability and reproducibility (GR&R) to verify the measuring ability and quality of the measurement frame, as well as to continuously improve and maintain the verification process. Nevertheless, the implementation of GR&R requires considerable time and manpower, and is likely to affect production adversely. In addition, the evaluation value for GR&R is always different owing to the sum of man-made and machine-made variations. Using a Monte Carlo simulation and the prediction of the repeatability and reproducibility of the measurement system analysis, this study aims to determine the distribution of %GR&R and the related number of distinct categories (ndc). This study uses two case studies of an automobile parts manufacturer and the combination of a Monte Carlo simulation, statistical bases, and the prediction of the repeatability and reproducibility of the measurement system analysis to determine the probability density function, the distribution of %GR&R, and the related number of distinct categories (ndc). The method used in this study could evaluate effectively the possible range of the GR&R of the measurement capability, in order to establish a prediction model for the evaluation of the measurement capacity of a measurement system. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47429697016 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.11 |
| format | Artículo científico |
| id | redalyc_47429697016 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis Tsu-Ming Yeh Ingeniería monte carlo simulation Measurement system analysis gauge repeatability and reproducibility Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis Tsu-Ming Yeh Jia-Jeng Sun Ingeniería monte carlo simulation Measurement system analysis gauge repeatability and reproducibility Measurements are required to maintain the consistent quality of all finished and semi-finished products in a production line. Many firms in the automobile and general precision industries apply the TS 16949:2009 Technical Specifications and Measurement System Analysis (MSA) manual to establish measurement systems. This work is undertaken to evaluate gauge repeatability and reproducibility (GR&R) to verify the measuring ability and quality of the measurement frame, as well as to continuously improve and maintain the verification process. Nevertheless, the implementation of GR&R requires considerable time and manpower, and is likely to affect production adversely. In addition, the evaluation value for GR&R is always different owing to the sum of man-made and machine-made variations. Using a Monte Carlo simulation and the prediction of the repeatability and reproducibility of the measurement system analysis, this study aims to determine the distribution of %GR&R and the related number of distinct categories (ndc). This study uses two case studies of an automobile parts manufacturer and the combination of a Monte Carlo simulation, statistical bases, and the prediction of the repeatability and reproducibility of the measurement system analysis to determine the probability density function, the distribution of %GR&R, and the related number of distinct categories (ndc). The method used in this study could evaluate effectively the possible range of the GR&R of the measurement capability, in order to establish a prediction model for the evaluation of the measurement capacity of a measurement system. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47429697016 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.11 |
| title | Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis |
| topic | Ingeniería monte carlo simulation Measurement system analysis gauge repeatability and reproducibility |
| url | https://www.redalyc.org/articulo.oa?id=47429697016 |