多成本和绿色飞行的机队规划  

Fleet Planning Based on Multi-cost and Green Flight

作　　者：谷润平[1,2] 李佳妮[1] 魏志强[1,2] 褚双磊[1,2] 

机构地区：[1]中国民航大学空中交通管理学院,天津300300 [2]天津市空管运行规划与安全技术重点实验室,天津300300

出　　处：《河南科技大学学报（自然科学版）》2016年第6期37-41,6,共5页Journal of Henan University of Science And Technology:Natural Science

基　　金：国家"863"计划基金项目(2014AA110501);国家自然科学基金项目(U1533116;21407174);工业和信息化部航空科学基金项目(20140267002)

摘　　要：为了减少航空公司的运营成本,以燃油成本最小、时间成本最小、碳排放成本最小以及机型利用率最平均为目标函数,建立了多目标整数优化模型。以某航空公司的实际数据为算例,代入优化模型确定最优机队配置。对各子目标的权重进行灵敏度分析,得到了不同权重组合对总运营成本和碳排放量的影响,给出可选的权重范围。研究结果表明:本文的优化模型一年可以为该航空公司节省约2 869万元运营成本,少排放7 665 t CO_2。To reduce operating cost of airlines,taking fuel cost minimization,time cost minimization,carbon emission cost minimization and averaging utilization of different aircraft types as objective function,a multiobjective integer programming model was established. Taking real data of an airline into the programming model,a optimal fleet contiguration was obtained. Weight sensitivity analysis of each sub-objective was performed. The effect of various weight combination on total operating cost and carbon emission was got,and the optional weight range was also received. The results show that the established programming model can save the operating cost of 28. 69 million RMB for the airline and reduce 7 665 t CO_2 each year.

关 键 词：机队规划 多目标规划 绿色飞行 层次分析法 灵敏度分析 

分 类 号：U8[交通运输工程]