Research On Flight Revenue Management Model Based On Data Instance

With the rapid development of the air transport industry,more and more airlines are springing up.In this case,the following problem is how to increase their own revenue to ensure the maximum benefit.It is found that the establishment of revenue management model is one of the best ways to solve the problem.First of all,after preprocessing the real data,this paper uses the descriptive statistical analysis method to compare the two flight special case data to study the factors that affect the flight revenue.Secondly,the flight revenue is divided into two levels:the arrival rate and quantity distribution of flight customers,and the revenue management model.The sales time is segmented based on the gamma distribution to deduce the arrival rate and quantity distribution of flight customers,and judge the accuracy of the estimated number of future customers.In this paper,the research of revenue management model adopts EMSR model,which is based on the prediction of the number of future customers and the price of air tickets,calculates the number of seats reserved for different classes of air tickets,obtains the expected revenue of the flight,and estimates the future revenue range of the flight using the interval.By the whole process of building revenue management model,we can predict the future revenue for different flights with known actual sales data,and adjust the sales strategy according to the estimated revenue in time to achieve the best expected revenue,and finally achieve the purpose of revenue management.