Gray Prediction Model to Predict Future Aircraft Usage Amount

• Main Authors: LEE,HAO-CHEN, 李浩禎
• Other Authors: LING,FONG-YI
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/80559324050874582591

碩士 === 中華科技大學 === 航空運輸研究所在職專班 === 104 === Profit business transactions to get the maximum element of sustainable development. The aviation industry to obtain higher profits, effective cost control is a modern enterprise resource planning's important task. Are generally used in statistical prediction methods to advance planning long range fleet expansion plans and short repair plan, hoping to make the company's future operations with a more satisfactory result. But the traditional forecasting methods need a lot of historical data, to make predictions with some accuracy. Gradual progress and development of the aviation industry today, enterprises in the use of traditional forecasting methods to do short-term air networks forecast, often not yet collect enough observations, industry in the area is already saturated from the market. Therefore, this study was the use of grey forecast of grey theory easy, less data characteristics, to design a set of predictive models to achieve effective short-term forecasting framework. Experimental results show that our method can get accurate results on the aircraft usage, and more stability and easier than ever.