Mathematical model;
Optimization;
Airline transport operation;
Carried passengers;
D O I:
暂无
中图分类号:
C93 [管理学];
O22 [运筹学];
学科分类号:
070105 ;
12 ;
1201 ;
1202 ;
120202 ;
摘要:
Airline transport operation is a complicated process affected by a number of factors. Despite perfect planning, it is common for real operations to be burdened by irregularities of varying range. These irregularities can be caused by meteorological phenomena, aircraft technical failures, crew shortage, awaiting for a delayed connecting flight, etc. If there is not enough aircraft available in case of irregularity during operation, it is necessary to postpone the realization of some flights to the next day or even cancel it. If such a decision is required, the staff of the operational control center (OCC) must identify which flights will be affected by the delay or cancellation. The task of identifying flights that will be affected by the delay or cancellation can be drawn up as an optimization problem. The optimization approach used for its solution will be mixed integer linear programming. The paper will contain a mathematical model in which the total number of passengers whose flights will not be delayed or canceled will be maximized. Computational experiments will be performed on model data in the optimization software Xpress-IVE.