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A DSS for business decisions in air transportation: A case study

机译:航空运输业务决策的DSS:案例研究

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The socio-economic development leads people to a great mobility. Thus the flights identification and management is becoming a key factor for the economic growth of the areas nearby the airports. The airport management is constantly looking for methods to improve its performance, both in terms of profitability and quality of service and the proper planning of passenger flows. To address these issues, scientific research provides methods and tools for decision support at all planning levels (i.e., strategic, tactical, operational, real time). In recent literature, it is now widely recognized that the hybridization of simulation and optimization systems is a very reliable technique for such decisions. This work intends to present an efficient Decision Support System framework based on the hybridization of a discrete event simulator and a Logit model. In order to show the effectiveness of the framework, we show the results of a real case study in North Italy.
机译:社会经济的发展使人们拥有极大的流动性。因此,航班识别和管理已成为影响机场附近地区经济增长的关键因素。机场管理层一直在寻找方法来改善其性能,无论是在盈利能力,服务质量还是对旅客流量进行适当规划方面。为了解决这些问题,科学研究提供了在所有计划级别(即战略,战术,运营,实时)进行决策支持的方法和工具。在最近的文献中,现已广泛认识到,仿真和优化系统的混合是用于此类决策的一种非常可靠的技术。这项工作旨在提出一个基于离散事件模拟器和Logit模型混合的高效决策支持系统框架。为了展示该框架的有效性,我们展示了意大利北部一个真实案例研究的结果。

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