摘要
根据预测的航线运输生产指标,以利润最大化为优化目标,综合考虑机型的技术经济性能和市场需求、航班频率资源、机组的有效飞行实力等因素,确定各航线上航班频率与使用机型的最优组合,再根据机型的平均利用率确定相应的机队配置方案.对5种机型、60条航线的机队规划问题进行仿真,结果表明该方法对航线客流量的波动具有一定的鲁棒性.
The proposed approach was based on predicted statistics of airline transport production, and its optimization objective was to maximize the profit of airline companies. Fleet capacity allocation on each air route was optimized considering the technical and economic properties of each airplane type and traffic demand, flight frequency on each air route, and available flight time of airline flight crews. The optimal fleet composition was determined based on average utilization ratio of each fleet type. A simulation was made using LINGO software with input of 5 fleet types and 60 routes, and the result shows that the proposed approach is robust to the fluctuation of traffic demand of market.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2010年第1期111-115,共5页
Journal of Southwest Jiaotong University
基金
国家自然科学基金资助项目(60776820
60832012)
关键词
航空运输
机队规划
优化
鲁棒性
air transportation
fleet planning
optimization
robustnesss
