The Analysis Of Group Revenue Management Based On The Market Forecast And Competition

The Ministry of Railways proposed high-speed rail network construction plan which hinders recovery of the civil aviation. The plan makes China airlines which have been effected by Subprime mortgage crisis and high oil prices. While airlines increase of transport capacity is higher than the increase of air passengers, Which makes the competition of the tourists robbery more intense, These factors have prompted airlines must work to improve the revenue management level.The analysis of Group Revenue Management in the article from seat inventory control and pricing based on the airline passenger demand forecasting and aviation market competition. It applies the model of autoregressive integrated moving average in time series analysis to predict air transportation turnover volume of China, and taking Jinan to Xiamen airline as an example to illustrate the validity of the model. Taking aviation market turnover and traffic volume for object, by Market Concentration Rate, Herfindahl-Hirschman Index and Lorenz curve for measure, that Chinese civil aviation market presents the characteristics of the oligarchic monopoly. According to the demand forecasting is divided into demand overflow and demand two kinds of cases. Application EMSR pricing method, solve the demand of prevent low overflow to the impact of high tourists tourists, achieve maximize returns. In demand conditions, we study on the oligarchs in cooperation and competition two cases the game analysis of cooperation is to realize that the optimum choice of the maximum profit and give each other the compromise of floating space for specific optimization decision realize provides a feasible solution.In the course of the study, different from the traditional Revenue Management methods which don’t distinguish between group and individual,we pick group revenue management out as independent special research; At the same time in the traditional revenue management simple taking pricing as the only core, but our analysis base on seat inventory control and pricing. Group Revenue Management is divided into demand and demand overflow study separately. On the airline demand forecasting process, we use the seasonal difference to eliminate periodic difference of reservation data. At the same time, according to the actual work demand, we choose two months as of demand forecasting key period. The choice can not only enhance the demand forecast the prediction precision, also meets the actual need of work.