Air China Cargo route optimization

Abstract

For cargo airlines, in the face of large and complicated air cargo demands, determining appropriate air cargo hub airports, allocating existing cargo planes to different flight segments, and allocating cargo flow to different transport routes and modes can reduce transport costs and improve transport efficiency. Therefore, it is of great practical significance to study the related problems in air cargo route optimization.

This paper first puts forward the main problems existing in the air transport route of the enterprise air express: unreasonable route selection leads to high cost. In order to solve this problem, an in-depth analysis is made on the influencing factors of air cargo air transportation route selection. Finally, an air cargo air transportation route optimization model considering transshipment under the fully connected network is established, aiming at the optimal cost and reducing the route with low cargo volume, and taking the volume demand and cost as constraints. The effectiveness of the model and algorithm is proved by using genetic algorithm to compare and analyse the solution results before and after optimization in terms of cost and low cargo routes.

Through the above research, the writing of this paper and the optimization process have proved the effectiveness of the optimization method, and put forward a beneficial scheme to solve the current Air China Cargo air transport route selection problem, and put forward a beneficial scheme to solve the current Air China cargo air transport Route selection problem, the results were compared before and after the optimization, in which the air transportation cost was reduced by 11% and the cost per kilogram was reduced by 3%, low-cargo routes down by 7 percentage points. Finally, some suggestions for Air China cargo management and the conclusion of this thesis are given.