A data-driven air cargo redistribution model based on multiple programming
A data-driven air cargo redistribution model based on multiple programming
复制标题
基于多重规划的数据驱动航空货运再分配模型
DOI：
10.1142/s0217979219501765
复制
发表时间：
2019-07
影响因子：
1.7
通讯作者：
Fan Zhang
中科院分区：
文献类型：
--
作者：
Yang Peng;Pu Wang;Xiaolong Zhao;Meilin Chen;Jun Zhang;Fan Zhang
Air cargo transportation is an essential mode of cargo transportation. How to distribute air cargo into flights better is an important operational problem. In this paper, air cargo data collected by CAAC (Civil Aviation Administration of China) during the first three months of 2018 are analyzed. We find that the available capacity for cargo transportation shows great variations, and the cargo compartment utilization rates of flights are heterogeneously distributed. Next, a data-driven air cargo redistribution model is developed based on multiple programming (MP). The proposed model can effectively transport high-priority goods and balance cargo compartment utilization rates of flights. In addition, the proposed model framework can provide a new solution to multi-objective or multi-stage optimization problems.
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