机场干扰管理仿真模型

V. E. Zhukov
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引用次数: 0

摘要

确保航班的正常运行是航空公司的主要任务之一。航空运输系统有效运作的三个主要组成部分包括确保飞行安全、规律性和所提供服务的高质量,即航空运输过程的服务部分。同时,值得注意的是,航班的正常或准点是确保安全的基础,有节奏地执行每日计划可以严格遵守飞机及时维修和预防性检查的标准。严重延误的航班使航空公司在机上和机场为乘客提供高水平服务的所有努力付诸东流。违反航班规则意味着航空公司的损失和重大的声誉损害。航班延误的传统原因有天气条件不利、技术原因、飞机晚点等。但是,由于机场拥挤,机场候机区拥挤,打乱了日常计划的执行节奏,一些俄罗斯航空公司的航班起飞和抵达延误的指标不时增加。每次航班延误都会造成混乱。中断管理问题一直是科学讨论和研究的主题。本文提出的研究对象是研究管理机场中断的模型,任务是研究以飞机队列的形式进行决策的选择,并分析这些决策的结果,其中目标函数将是最大限度地减少延误造成的损失。对于决策,建议使用条件干扰情况的仿真模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation Model for Airport Disruption Management
Ensuring the regularity of flights is one of the key tasks of the airline. Three main components of effective functioning of the air transport system comprise ensuring flight safety, regularity and high quality of the services provided, that is, the service component of the air transportation process.At the same time, it is worth paying attention to the fact that regularity or punctuality of flights is the basis for ensuring safety, the rhythmic implementation of the daily plan allows strictly adhering to the standards for timely maintenance and preventive inspections of aircraft. And flights operated with significant delays nullify all the efforts of air carriers to show a high level of service on board and when servicing passengers at airports. Violation of regularity of flights implies airline's losses and significant reputational damage. The traditional reasons for flight delays are unfavourable weather conditions, technical reasons, late arrival of the aircraft. But the indicator of delays in departures and arrivals of flights of some Russian air companies increases from time to time due to the congestion of airports, the congestion of airport waiting areas, disruptions in the rhythm of the execution of the daily planning.Every flight delay creates a disruption. The issue of disruption management has always been a topic for scientific discussions and research. The object of research presented in the article is to study the model of managing an airport disruption, the task was to study options for decision-making in the form of a queue of aircraft for departure and analyse the results of these decisions, where the objective function will be to minimise losses from delay.For decision-making, it is proposed to use a simulation model of a conditional disruptive situation.
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