Determination of air boarding strategy based on MINPL and Monte Carlo simulation

With the increasing business in air travel area, reducing the plane´s turnaround time is becoming more and more important. In this paper, it chooses the optimum boarding strategy to reduce the turnaround time. The MINPL model is for the small-size plane, with the boarding time mainly depending on seat interference and aisle interference. The GASimplex algorithm (genetic algorithms mixed with simplex method) is used to solve it. For the middle-size plane, a Monte Carlo Simulation model is designed which is based on probabilistic aspect. Then these two models are integrated to solve the large-plane problem. Based on these models, the paper uses Matlab 6.5 to do the calculation and found that the boarding strategy combined Reverse Pyramid with Rotation outperforms other strategies. Finally, it analyzes the strengths of the model.