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基于货物需求约束的航空货运网络调度优化模型

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在航空货运领域实现高效网络调度对于降低运营成本和提升服务效率具有重要的研究意义.构建了一个综合性的航空货运网络调度模型,该模型融合了飞机路线选择、货物运输路径规划以及航班时刻表的设置.其主要目标是在遵守相关的经营限制的前提下,实现运营成本的最小化.为了确保模型能够贴合实际应用场景,在约束条件的设计上进行了精细化处理,重点分析了运输方式选择、货物类型差异,以及订单取消成本对航班计划制定的影响.通过对中国国际货运航空公司一周内的模拟订单需求数据进行测试,详细探讨了货物种类在约束条件中对目标函数值的影响,并比较了两家不同货运航空公司对相同订单的处理效果,进一步分析了它们在不同机场的运营效能差异.模型求解采用了数学规划求解器,测试结果表明综合调度模型能够在较短时间内找到最优解,为航空货运领域研究提供了新的视角和方法.
Air Cargo Network Scheduling Optimization Model Based on Cargo Demand Constraints
The efficient scheduling of air cargo networks is of great research significance for reducing operational costs and impro-ving service efficiency.A comprehensive air cargo network scheduling model was constructed that integrates aircraft route selection,cargo transportation path planning,and flight scheduling.The primary objective was to minimize operational costs while satisfying rele-vant operational constraints.To ensure the applicability of the model,the design of the constraints was refined,focusing on the selec-tion of transportation modes,differences in cargo types,and the impact of order cancellation costs on flight scheduling.By testing simulated order demand data for one week from Air China Cargo,extensive exploration into the influence of cargo types on the value of the objective function within the constraints was undertaken.Additionally,handling efficiency between two different cargo airlines for the same orders was compared and their operational performance differences at different airports were further analyzed.The model is solved using commercial planning solvers from operations research,and the test results show that an optimal solution can be found in a relatively short time with this comprehensive scheduling model,providing new perspectives and methods for research in the field of air cargo transportation.

transportation planningcargo demandair cargo scheduling modelspatio-temporal network modelcargo transporta-tion path planning

张越、史晓红、任轩禾、林海峰、赵丽娜

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中国民用航空飞行学院空中交通管理学院,广汉 618300

中国民用航空局空中交通管理局航行情报服务中心,北京 100035

交通规划 货物需求 航空货运调度模型 时空网络模型 运输路径规划

2024

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2024.24(35)