Research On Problems Of Air Cargo Revenue Management And Process Optimization

With development of global economic integration and international trade, China air cargo entered into a new stage of dramatic development. Under Chinese policy of"open sky", Chinese airlines have been faced with tremendous development opportunities and challenges at the same time. How to improve air cargo revenue management level becomes the most important question for the civil aviation enterprises. In order to improve China air cargo service quality and increase air cargo revenue and strengthen competition advantage, this article studies China air cargo revenue management according to the airlines'fact and key problems of China air cargo management. The article specially studies the problem of air cargo process optimization at last. The main contents of the article are as follows:In the analysis of air cargo customer demand, the article studies the characteristics of air cargo customer value based on customer perspective, and develops the theoretical model for deciding factors of customer value and its dynamic changes, using the structural equation model to examine it, the result shows that the factors of time and convenience are the core factors influencing air cargo customer value, and the factor of price has already become secondary, and the changes in competitor, service provider, customer and macro-environment all have remarkable effects on the dynamics of customer value. The article also analyzes the reasons of customer's demand change based on enterprises, competitors and customers three aspects, and develops knowledge of the seek process of customer's demand goal, and establishes customer's demand knowledge expression pattern based on"Rule+Case", which can catch dynamically customer demand.The article analyzes the state of air cargo product, and finds that China air cargo products were simplex and the degree of product innovation was low-level, and combines buses modularization method with product innovation, dividing air cargo service into hiberarchy.In the air cargo pricing system, the article puts forward the rank lead time-contingent pricing system and the price discount mechanism to pledge lead-time, which is found that time and price is key point of affecting the degree of customer value. It has established lead time-contingent pricing model and discount model. Through numerical example, the article discusses the impact of parameters in the model on optimal pricing decision. The results have special referece to decision-making of pricing for the third chapter suggested new air cargo products. A two-dimensional (weight and volume) cargo overbooking model was developed with profit maximization as the objective. And the result of the model indicated that the optimal overbooking level is related to show-up rate greatly rather than booking requests. It was proved that the model is efficient and easy to be put into practice.Cargo slot inventory control was studied from long term and short term. The article studies the effect of long-term contract on airlines cargo yield, develops a chance-constrained programming model with a profit maximization objective, which can control airlines slot allotment. Afterwards, a numerical example is given to illustrate the application of the proposed model, which shows that airlines obtain more accurate demand information. At last the article establishes a discrete-time dynamic programming model for air cargo short-term slot optimal control with a single-leg, and puts forward the optimal control policy of air cargo slot.An air cargo routiong model on Mulit-Agent and the algorithm of routing choice aimed at maximum expected net revenue was developed, based on the characteristics of air cargo slot. A numerical example is given to show that the model is simple and incremental.Six Sigma Management was applied to cargo process optimaization and design, and the artilce studies the relationship of six sigma level, process capability indices and qualified rate, develops the mathematical model of six sigma process ability assignment based on lowest time cost, and the method of Lagrange was used to solve the model. The model was tested with an example.