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Mathematical model for optimising the sequence for clearing snow from the manoeuvring area during winter operations

机译:用于优化冬季作业期间从机动区域清除积雪顺序的数学模型

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This article considers the optimisation of the sequence for clearing snow from stretches of the manoeuvring area of an airport. This issue involves the optimisation of limited resources to remove snow from taxiways and runways thereby leaving them in an acceptable condition for operating aircraft. The airfield is divided into subsets of significant stretches for the purpose of operations and target times are established during which these are open to aircraft traffic. The document contains several mathematical models each with different functions, such as the end time of the process, the sum of the end times of each stretch and gap between the estimated and the real end times. During this process, we introduce different operating restrictions on partial fulfilment of the operational targets as applied to zones of special interest, or relating to the operation of the snow-clearing machines. The problem is solved by optimisation based on linear programming. The article gives the results of the computational tests carried out on five distinct models of the manoeuvring area, which cover increasingly complex situations and larger areas. The mathematical model is particularised for the case of the manoeuvring area of Adolfo Suarez MadridBarajas Airport. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:本文考虑优化从机场操纵区域范围内清除积雪的顺序。这个问题涉及有限资源的优化,以从滑行道和跑道上除雪,从而使它们处于飞机运行可接受的状态。为了运营目的,将飞机场划分为大量延展的子集,并确定了目标时间,在此期间这些时间对飞机通行。该文档包含几个数学模型,每个数学模型具有不同的功能,例如过程的结束时间,每个拉伸的结束时间的总和以及估计和实际结束时间之间的间隔。在此过程中,我们对部分实现操作目标引入了不同的操作限制,这些限制适用于特别关注的区域或与扫雪机的操作有关。通过基于线性规划的优化解决了该问题。本文给出了在五个不同的机动区域模型上进行的计算测试的结果,这些模型涵盖了越来越复杂的情况和更大的区域。该数学模型针对阿道夫·苏亚雷斯·马德里·巴拉哈斯机场的机动区域而专门化。版权所有(c)2016 John Wiley&Sons,Ltd.

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