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航班地面保障过程决策支持体系建模

Modeling for Decision Support of Flight Ground Support Process
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摘要 针对航班地面保障过程决策能力不足、运行效率低下的问题,提出一种基于国防部体系结构框架(department of defense architecture framework,DoDAF)的航班地面保障过程决策支持模型。从保障作业、保障资源以及二者间关联关系出发,定量描述航班地面保障过程,将DoDAF与基于模型的系统工程(model-based systems engineering,MBSE)相结合建立航班地面保障过程决策支持模型,建立决策效用函数,分析航班保障各环节综合保障的效用值。对比实际数据与本文决策支持模型得到的数据,结果表明决策后的撤轮挡时间与目标撤轮档时间的平均绝对误差对比实际撤轮档时间和目标撤轮档时间的平均绝对误差降低1.42 min,均方根误差降低0.95 min,对于不同机型航班,决策后的保障服务时间与计划保障时间相对误差对比决策前分别降低31%、17%和42%,同时可以得到保障时间与保障效用的关系,证明本文提出的决策模型的可行性和有效性。 Aiming at the problems of insufficient decision-making ability and low operational efficiency of the flight ground support process,a decision support model of the flight ground support process based on the department of defense architecture framework(DoDAF)is proposed.Starting from the support operation,support resources,and the relationship between them,the quantitative description of the flight ground support process is performed.DoDAF and the model-based systems engineering(MBSE)modeling method are combined to establish a decision support model of the flight ground support process.The decision utility function is established to analyze the utility value of the comprehensive support of each link of flight support.The actual data are compared with the data obtained from the decision support model.The results show that the mean absolute error and the root mean square error between the off-block time after the decision and the target off-block time are reduced by 1.42 min and 0.95 min,respectively,compared to those between the actual off-block time and the target off-block time.For flights of different aircraft types,the relative errors between the support service time and the planned support service time after the decision are reduced by 31%,17%,and 42%compared with those before the decision,and the relationship between support time and support utility can be obtained,which proves the feasibility and effectiveness of the proposed decision model.
作者 邢志伟 于瑞文 李彪 陈肇欣 Xing Zhiwei;Yu Ruiwen;Li Biao;Chen Zhaoxin(College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China;College of Aeronautics,Inner Mongolia University of Technology,Hohhot 010051,China;Engineering Technology Research Center,The Second Research Institute of Civil Aviation Administration of China,Chengdu 610041,China)
出处 《系统仿真学报》 CAS CSCD 北大核心 2024年第11期2552-2565,共14页 Journal of System Simulation
基金 国家重点研发计划(2018YFB1601200)。
关键词 航班地面保障 决策支持 国防部体系结构框架 基于模型的系统工程 体系建模 flight ground support process decision support department of defense architecture framework model-based systems engineering system modeling
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  • 1姚韵,朱金福,柏明国.航班过站地面服务的优化调度算法[J].信息与控制,2007,36(4):486-492. 被引量:19
  • 2M Abd Allah Makhloof, M Elsayed Waheed & Usama A E1-Raouf Badawi. Real-time aircraft turnaround operations manager[J]. Production Planning & Control: The Management of Operations, 2014, 25:1, 2-25, DOI: 10.1080/09537287.2012.655800.
  • 3Jia Yan Du, Jens O. Brunner, Rainer Kolisch, Planning towing processes at airports more efficiently[J]. Transportation Research Part E: Logistics and Transportation Review, Volume 70, October 2014, Pages 293-304, ISSN 1366-5545.
  • 4HUANGLS.Simulation study of vehicle scheduling on ramp based on SIMIO[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2013.
  • 5Xing Z, Lian G. Cooperative game theoretical research for aircraft deicing operation scheduling[C]//Intelligent Control and Automation (WCICA), 2012 10th World Congress on.IEEE, 2012:2407-2411.
  • 6Norin A, Varbrand P. Scheduling de-icing vehicles within airport logistics: a heuristic algorithm and performance evaluation[J]. Social Science Electronic Publishing, 2012, volume 63(8): 1116-1125.
  • 7Angus Cheung, W HIp, Dawei Lu, et al. An aircraft service scheduling model using genetic algorithms[J]. Journal of Manufacturing Technology Management, 2005, Vol. 16 Iss 1 pp. 109 - 119.
  • 8XUL.Studyandapplication of multi-objective optimization based on genetic algorithm[D]. Changsha: Central South University, 2007.
  • 9Mnasri S, Abbes F, Zidi K, et al. A multi-objective hybrid BCRC-NSGAII algorithm to solve the VRPTW[C]//Hybrid Intelligent Systems(HIS), 2013 13th International Conference on,vol.,no., pp.60,65,4-6 Dec.2013,doi: 10.1109/HIS.2013.6920455.
  • 10LEIYJ,ZHANGSW,LIXW,eta1.MATLABGenetic Algorithm toolbox and application[M]. Xian: Xian University of Electronic Science and Technology Press, 2005.4.

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