Process Performance Evaluation Model of Bearing
| Autor: | Cai Shang Ru, 蔡尚儒 |
|---|---|
| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 The development of the machine tool industry is quite related to the economic system of a country, many industries need to rely on machine tools to create output value. Taiwan is the seventh largest machine tool producer and the fourth largest machine tool exporter in the world. In order to increase the reliability of the machine and the overall product quality for meeting the market demand and enhancing the industrial competitiveness, the process quality of all components must be upgraded. In addition to quality, manufacturing time performance is also one of the important indicators. The process too short may affect quality; on the other hand, the process too long will influence performance. Therefore, this paper will discuss the process quality and manufacturing time to produce a manufacturing time performance indicators to feedback the acceptance rate of the manufacturing time. Six standard deviation quality indicators constructed by the process accuracy index and the process accuracy index are used as evaluation tools in this paper. First, a process quality analysis chart is formed by the precision index as X axis and the precision index as Y axis. In this chart, it is not only to evaluate whether the level of the process quality of each quality characteristic meets the requirements, but also to propose the improvement direction for the quality characteristics not meeting the requirements. Then use the manufacturing time performance as the Z axis to assess whether the manufacturing time performance reach the requirements. To sum up, the performance evaluation chart constructed by this paper makes it easier for researchers to observe which workstations have a process variation in the process, to control the stability of the process effectively, to provide the improvement reference for staff on the scene and to enhance the competitiveness of the industry. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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