Integrated Optimization of Aircraft Surface Operation and De-Icing Resources at Multi De-Icing Zones Airport

Integrated Optimization of Aircraft Surface Operation and De-Icing Resources at Multi De-Icing Zones Airport

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Since the surface operation of hub airports was facing severe congestion and aircraft delay under the de-icing mode, some practical problems of improving aircraft operation and Crop Top support efficiency are put forward.A two-phase model is constructed to coordinate the scheduling of aircraft surface operation (ASO) and de-icing support resources operation (DSRO).An optimized method is used to schedule the aircraft surface operation.

On the basis of the scheduling results of surface operation, an aircraft and de-icing resource collaborative scheduling (ADCS) mechanism is established to optimize the assignment of aircraft and de-icing resources.The algorithm combining receding horizon control strategy and CPLEX solver (RHC-CPLEX) is designed to solve the model.Computational experiments performed on case studies of Beijing DaXing airport show some potential improvements: Firstly, for the ASO model, the RHC-CPLEX algorithm can reduce the objective function value by more than 20% compared with the FCFS algorithm.

And the results shows that not only the delay distributions under different snow conditions are reasonable, but the spatial distributions of the de-icing zones of aircraft are closer to the location of their apron and allocated runway.Secondly, Acrylic Desk Name Plate Block for the DSRO model, the RHC-CPLEX algorithm can reduce the objective function value by more than 6% compared with the algorithm based on the principle of proximity and availability.The de-icing vehicles are used efficiently and the number of refilling de-icing fluid and the free time of the de-icing vehicles can be significantly reduced.