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为了降低航空公司机队的飞行成本,提高飞机的座位利用率,研究机队各机型与航线优化匹配问题。考虑了旅客溢出带来的潜在支出成本,在满足航班覆盖、旅客需求、机队寿命、航班连续等约束条件下,建立了多目标0~1整数规划模型,并采用基于隶属度的多目标模糊决策法对模型进行求解计算。通过实例验证分析表明:建立的多目标机队优化匹配模型实用可行,既降低了机队的飞行成本,又提高了各条航线上机型的座位利用率。
In order to reduce the flight cost of the airline fleet, improve the utilization of the seat of the aircraft and study the optimization matching of various types and routes of the fleet. Considering the potential cost of travelers’ spillovers, a multiobjective 0 ~ 1 integer programming model is established under the constraints of flight coverage, passenger demand, fleet lifetime and flight continuity. The multiobjective ambiguity Decision-making method to solve the model calculation. The case study shows that the model of multi-target fleet optimization matching is practical and feasible, which not only reduces the flight cost of the fleet but also increases the seat utilization rate of each model.