Results 31 to 40 of about 71 (67)
Increased congestion at hub airports affects on-time airline performance to the detriment of customer satisfaction and may have substantially negative repercussions for airlines in a hypercompetitive environment.
Marina Efthymiou +4 more
doaj
Bu tezde, aksaklıklar karşısında havayolu çizelgelerinin tamiri ile ilgileniyoruz. Çizelge tasarım aşamasında, havayolları kaynaklarını etkin bir şekilde kullanabilmek ve sektördeki rekabet gücünü artırabilmek için genellikle sıkı¸sık çizelgeler oluştururlar.
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Airline Disruption Management with Delay Ledgers
Department of Defense (DoD) ; National Aeronautics and Space Administration (NASA)
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Solving the Airline Recovery Problem By Using Ant Colony Optimization
In this paper an Ant Colony (ACO) algorithm is developed to solve aircraft recovery while considering disrupted passengers as part of objective function cost.
doaj
Evaluation of a Multi-Agent System approach to airline disruption management
Abstract Each day, airlines face disturbances that disrupt their carefully planned operations. Events like adverse weather conditions, sick crew members, or damaged aircraft often result in delays in the airline's schedule. An airline recovers from such disruptions through the role played by its Airline Operations Control (AOC). A Multi-Agent System (
Soufiane Bouarfa +2 more
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Disruption management in the airline industry
The first point of the study purpose is taken into account in the second and third chapter of this work. It helps to create the ground of the successive argument and it also shows the main problem that could generate a delays or a disruptions in the airline industry.
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Technical Disruptions In Airline Operation Management
A decision is a choice made between two or more suitable alternatives. Making a decision is an important process of researching, obtaining and selecting options to be used at the right time and at the right place in relation to the activities to be carried out to achieve a certain goal.
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Real-time decision support for airline schedule disruption management
This study applied a method of inequality-based multiobjective genetic algorithm (MMGA) for real-time airline schedule disruption management in response to the schedule disruption of short-haul, quick turnaround flights with an environmental consideration.
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Airline Disruption Management with Aircraft Swapping and Reinforcement Learning
Managing fleet disruption is essential for an airline to control delay costs. Delays emerging from these disruptions can be manipulated through fleet operations like aircraft swapping. This paper applies machine learning techniques to the disruption problem.
Hondet, Gabriel +2 more
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Dynamic passenger recovery model for airline disruption management
Airline operations experience schedule disruptions every day. These schedule disruptions require intervention from the airline operations controllers through schedule recovery. In a hub and spoke airline network model, a disruption such as a flight cancellation can affect passenger itineraries in multiple fight legs, making it hard for airlines to re ...
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