| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000373913 |
| ISSN: | 1665-6423 |
| Authors: | Yeh, Tsu-Ming1 Sun, Jia-Jeng1 |
| Institutions: | 1Dayeh University, Department of Industrial Engineering and Management, Taiwan. China |
| Year: | 2013 |
| Season: | Oct |
| Volumen: | 11 |
| Number: | 5 |
| Pages: | 780-796 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | 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 |
| Disciplines: | Ingeniería |
| Keyword: | Ingeniería industrial, Cadena de producción, Repetibilidad, Reproducibilidad, Análisis de sistemas |
| Keyword: | Engineering, Industrial engineering, Production line, Repeatability, Reproducibility, Systems analysis |
| Full text: | Texto completo (Ver HTML) |
