基于多目标优化与仿真的机场航站楼效能多准则分析

Q3 Engineering
J. Miroforidis
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引用次数: 1

摘要

由于旅客与航站楼基础设施之间的相互作用相对复杂,因此合理的航站楼机场管理方法不是一项简单的任务。这种基础设施可以表示或建模为服务节点网络。在决定这种网络结构时,不仅要考虑航站楼基础设施的成本,还要考虑一套描述乘客服务水平的质量指标。这样的决策问题可以在多个标准设置中形成。本文提出了一个以机场离散事件仿真模型为基本模型的双准则决策问题。该仿真模型用于评估代表服务节点网络的有限配置集。为了指出最优的帕累托最优配置,我们提出了一种交互式决策方法,以所谓的让步向量和参考点作为偏好载体来导航帕累托最优解。这种通用的决策方案可用于解决实际的多准则决策问题,这些多准则决策问题由仿真运行得到准则函数的值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Criteria Analysis of the Airport Terminal Effectiveness by Multi-objective Optimization and Simulation
A rational approach to terminal airport management is not a trivial task due to relatively complex interactions between passengers and terminal infrastructure. Such infrastructure may be represented or modelled as a network of service nodes. To make a decision about such a network structure, one has to take into account not only the cost of terminal infrastructure, but also a set of quality indicators depicting passenger service level. Such decision problems may be formulated in the multiple criteria setting. We propose a bi-criteria decision making problem with a discrete-event simulation model of a terminal airport as a base model. The simulation model is used to evaluate a finite set of configurations representing a network of service nodes. To point out the most preferred Pareto optimal configuration, we propose to use an interactive decision making method to navigate Pareto optimal solutions with so-called vectors of concessions and reference points as preference carriers. Such versatile decision making scheme may be used to solve practical multiple criteria decision problems with values of criteria functions obtained by simulation runs.
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来源期刊
International Journal of Information and Management Sciences
International Journal of Information and Management Sciences Engineering-Industrial and Manufacturing Engineering
CiteScore
0.90
自引率
0.00%
发文量
0
期刊介绍: - Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence
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