The Study of Using Predict Support System to Promote the Parallel Drilling Machine Production Performance
| Autor: | Mei-Yin Chen, 陳美吟 |
|---|---|
| Rok vydání: | 2015 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 103 The basic structure of buildings is composed of reinforce, Earthquakeshappened in Taiwan are frequent, steel building strength affects public safety and property, because of few Iron ore resources in our country, we have imported steel materials from abroad, so the sale price is often subject to international iron ore price change impact, this situation is very unfavorable for the steel industry. In this study, we chose the most common number of H-beam processing drilling process to discuss after we analysis the problem of iron and steel industry. After collecting all of the processing information, we use the Multiple Regression Analysis to solve the problem of the data, also we use the EXCEL software package to establish a forecasting support system, to help the company management to estimate the production time to lay the standard production volume and reward system. By empirical results that, if the individual job performance as a production line operator's incentive target will award by the Improshere plan to work appropriately, this reward performance measure is mainly aimed at the working hours and personal productivity. The study was concluded, the number of hours of work and drilling to grow in a linear fashion, for example work situation in August at machine A, the employees can get 4,901 dollar as a reward. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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