Research On Civil Aviation Revenue Management Based On Gaming Of The K-Line

Segmenting markets, accurate forecasts and seat allocation are the essential elements of airlines revenue management. However, the available researches and systems of revenue management only do a few of different fare classes about segmenting markets, can't attain a target of successive thoroughly segmenting. The accurate demand forecasting is more difficult, on the one hand, seasonal factors, competitive actions and economic environment are hurdles of it, on the other hand, it is restricted by unpredictable factors about people's psychology factors, random factors and the abrupt event and so on. In addition, most of historical demand data is censored, so, the available research ways can nearly not accurately forecast demand now. Poor demand forecasting lead to inadequate inventory control, further lead to cuts down revenue performance. In addition, now pricing and sale of international and domestic passenger ticket lack the initiative participating of travelers, as a result, it can not be called the complete marketplaceization. The existing revenue management systems are in the same pattern, innovative and more valid system has not arisen always, in the existing sale pattern, the researches and applications of it is hard to meet the breakthrough.To resolve foregoing faults, to develop more valid revenue management system that is superior to traditional system and lift the flight revenue, a few of innovative thinking and researches were proposed in this dissertation: 1. It suggested a new research idea and a new passenger ticket sale pattern which is gaming sales based on K line chart research, it resolve many complex problems in the way of the simple means. K line chart technique of securities deal is applied to revenue management in this research idea, static pricing has be changed to dynamic pricing, so the passenger ticket price contains the entire price area, the marketplace is segmented Thoroughly. 2. The unidirectional pricing of airline is changed to bi-directional pricing of the airline pricing and passenger's quoted price, to get further marketplaceization, the quoted price of passenger may resolve the actual demand problem that can not to obtain formerly. 3. As means of gaming and forecasting, the K line chart can display visually waving of price and changing of market, moreover, it can calibrate forecasts on the basis of historical data and the market situation, even if lacking historical data, it also may cope with interference of market factors, coincide the real time market demand. 4. A simulating algorithm was proposed to forecast demand in this paper. Models were proposed to integrate the dynamical pricing and inventory control that their optimization methods of real-time correction were given. 5. In view of the civil aviation revenue management feature, a modified integer coding genetic algorithm with guidance was used to speed up the convergence rate, with the simple calculations, which pricing and seat allocation get speedily real-time correction on the basis of demand. 6. The concept of"virtual inventory"was presented, which masks interfere of sham booking.The test data shows that the method presented in the paper can stimulate demand and increase seat utilization ratio, the flight revenue can be increased over 10%.