摘要
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。
To reduce the cost of airline fleet during flying and improve aircraft load factors,optimization matching between fleet models and routes is researched.The effect of passenger overflow on the airline cost is analyzed.Considering the flight covering,passenger demand,fleet life and flight continuity,a0—1integer programming mathematical model is established.Furthermore,the model is solved by using multi-objective fuzzy decision making based on membership degree.Comparison results of the simulation data with the original plan data prove that the mathematical model of multi-objective optimal allocation of fleet has realistic significance of reducing the flight cost and improving the seat utilization.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2016年第6期917-921,共5页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家高技术研究发展计划("八六三"计划)(2014AA110501)资助项目
关键词
机型航线匹配
多目标规划
模糊决策
隶属度
aircraft routes match
multi-objective programming
fuzzy decision
membership degree
