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机场共享自助值机托运服务资源配置研究 被引量:7

Research on resource allocation model and strategy of airport shared self-service check-in and baggage check system
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摘要 共享自助值机托运系统能够有效缓解未来机场资源有限的紧张状况,其资源的有效配置才是提升该自助协同工作系统性能的关键.本文建立了一个静态资源整数规划模型和动态调整策略,模型考虑了值机和托运设备之间的协同关系,并约束配置方案能提供稳定的服务水平,策略则针对不同规模的初始配置方案增减设备数量来提升设备利用率.离散时间仿真结果表明,相比传统值机系统,该模型应用到机场共享自助值机托运系统中产生的静态配置方案既可提高132%的设备利用率,又可缩短62.5%的旅客排队等待时间,动态调整策略又在其基础上提升了8%~15%的设备利用率,可全面提升未来机场航站楼的性能. The shared self-service check-in system can effectively alleviate the tension of limited airport resources in the future.The effective allocation of resources is the key to improving the performance of this collaborative work system.This paper establishes a static resource integer programming model and dynamic adjustment strategy.The model considers the collaborative working relationship between system counter and transportation equipment,and restricts the configuration scheme to provide a stable service level.the strategy improves the equipment utilization by increasing or decreasing the number of equipment according to the initial allocation scheme of different scales.The discrete event simulation results show that the static allocation scheme generated by the model applied to the shared self-service check-in system can not only improve the equipment utilization rate by 132%,but also shorten the queuing time of passengers by 62.5% respectively,compared with traditional check-in system Furth more,the dynamic adjustment strategy has increased the equipment utilization rate by 8%~15%,which can comprehensively optimize and improve the efficiency of future airport baggage handling systems.
作者 刘英 向勇 杨秀清 周新志 LIU Ying;XIANG Yong;YANG Xiu-Qing;ZHOU Xin-Zhi(College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China;The Second Research Institute of CAAC,Chengdu 610041,China;Civil Aviation Logistics Technology Company Limited,Chengdu 611400,China)
出处 《四川大学学报(自然科学版)》 CAS CSCD 北大核心 2021年第5期57-64,共8页 Journal of Sichuan University(Natural Science Edition)
基金 国家自然科学基金委员会-中国民用航空局民航联合研究基金(U1933123)。
关键词 自助值机 资源配置 整数规划模型 动态调整策略 离散事件仿真 Self-service check-in Resource allocation Integer programming model Dynamic adjustment strategy Discrete event simulation
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