Searched for: contributor%3A%22Santos%2C+Bruno+F.+%28mentor%29%22
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Witteman, Max (author)
This research concerns the problem of scheduling aircraft maintenance tasks, that must be carried in multiple maintenance checks to keep the aircraft airworthy. During this research the allocation of maintenance tasks to their maintenance opportunities is referred to as the task allocation problem. It is a complex combinatorial problem that is...
master thesis 2019
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Brunia, Stijn (author)
Increasing runway capacity is a key objective for many airports worldwide, including Schiphol Airport. One of the restricting factors that has become more prevalent throughout the years lies in the task load of the Air Traffic Ground Controllers. To overcome this limiting factor, it becomes essential to mitigate this high task load. This study...
master thesis 2023
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Munting, Stein (author)
In the dynamic and complex world of air transportation, airports can serve as vital hubs that connect numerous of destinations and facilitate the smooth flow of passengers and aircraft. However, the efficient operation of hub airports can be significantly disrupted by various factors, one of which is the reduction in runway capacity. Runway...
master thesis 2023
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Daenens, Simon (author)
Condition-based maintenance is an emerging maintenance strategy for aircraft, leveraging the constant collection of sensor information to facilitate diagnostics and prognostics of potential failures. The implementation of this strategy requires a significant initial investment and therefore, the resulting benefits should be quantified in advance...
master thesis 2021
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Hassan, Lotfy (author)
Airlines experience schedule disruptions on a daily basis. Poor weather conditions, unscheduled aircraft maintenance and congested air spaces are just a few of the causes that prevent airlines from operating their flight schedules as planned. In the third quarter of 2017 over 20% of all scheduled flights in Europe suffered from delays. Operation...
master thesis 2019
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Hampsink, Joris (author)
Scheduled aircraft maintenance consists of a set of work tasks to be executed. This thesis focuses on improving the order in which these work tasks are executed. Because finding an optimum for these kind of problems is computationally intensive, the chosen approach is of heuristic nature, which is a practical method resulting in close-to-optimal...
master thesis 2019
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Martini Jimenez, Daniel (author)
Condition-based maintenance (CBM) is emerging in the airline industry as a revolutionary concept that could potentially increase the efficiency of aircraft operations. The adoption of CBM strategies is not yet widespread due to the stringent requirements imposed by aviation authorities and the fact that the prognostic and health management (PHM)...
master thesis 2021
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Herrmann, Lars (author)
As the volume of telemetry data generated by satellites and other complex systems continues to grow, there is a pressing need for more efficient and accurate anomaly detection methods. Current techniques often rely on human analysis and preset criteria, presenting several challenges including the necessity for expert interpretation and continual...
master thesis 2023
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Eikelenboom, Berend (author)
Airlines frequently deal with unexpected disruptions, which have to be resolved in order to resume their operations again. Decision-support tools help airlines with disruption management. However, long computational times are associated with integrated recovery models that compute globally optimal solutions, which makes these tools unfit for...
master thesis 2022
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Zuijderwijk, Noa (author)
To reduce the environmental impact of the aviation sector in Europe, climate goals have been set as stated in the Paris Agreement and the European Green Deal. This reduction can be achieved by fleet replacement with electrified aircraft. Challenging is that electrified aircraft are yet in a conceptual phase and most likely suitable for smaller...
master thesis 2022
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Guillaume, Nicolas (author)
The taxi procedure at an airport refers to the surface movement of the aircraft between the parking position and the runway or vice versa. Nowadays, aircraft tend to taxi with the main engines, even if they are not optimized for it. Using an alternative suitable taxiing system that fulfills the requirements of the taxi procedure could be a...
master thesis 2018
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Koch, Mike (author)
The air cargo industry is a challenging environment due to the high competition between the stakeholders involved. This demands, as example, high efficiency from cargo airlines. Efficiency can be ensured by designing loading strategies that fully exploit the available cargo volume. Unknowns in the booking dimensions and flight information make...
master thesis 2019
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Lampe, Reinoud (author)
Reducing fuel consumption is an increasingly important topic within aviation. One approach to accomplish this goal is reducing excess fuel weight being loaded on aircraft. Flight dispatchers and pilots load extra fuel to account for uncertainties present in trip fuel consumption, which is currently computed by the flight planning system (FPS)....
master thesis 2022
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Nooren, Alex (author)
Operators rely on labor and task scheduling in aircraft line maintenance to keep their fleet operable whilst aiming for low maintenance costs. These scheduling problems are often considered from a long-term perspective in which an expected number of ground engineers is divided among the incoming aircraft to execute as many tasks as required,...
master thesis 2020
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de Koning, Mathias (author)
This work proposes a model-free reinforcement learning approach to learn a long-term fleet planning problem subjected to air-travel demand uncertainty. The aim is to develop a dynamic fleet policy which adapts over time by intermediate assessments of the states. A Deep Q-network is trained to estimate the optimal fleet decisions based on the...
master thesis 2020
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Vossen, Pippa (author)
In this research, a sustainability and cost assessment of battery health management strategies applied to Lithium batteries of an electric Unmanned Aerial Vehicle (eUAV) is performed. A mission-based strategy is proposed with the aim to elongate battery lifetime. With this strategy, the battery is charged to the estimated State of Charge (SOC)...
master thesis 2022
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Nikolajević, Andrej (author)
This paper presents a machine learning approach to the aircraft and crew recovery problem. The presented model utilises a two-stage sequential approach recovering the aircraft and flight schedule first, followed by that of cockpit crew. At each stage, the recovery is assisted via use of decision tree-based machine learning classifiers to select...
master thesis 2021
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Requeno García, Laura (author)
This MSc thesis presents a stochastic modelling approach to the multi-period airline fleet planning problem. Approximate Dynamic Programming (ADP) is used to model the impact of demand uncertainty on fleet decisions. The proposed ADP algorithm applies local value function approximations resulting from Gaussian kernel regressions to estimate...
master thesis 2017
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Wittenberg, Mels (author)
Efficient maintenance scheduling is a critical objective for aircraft carriers and Maintenance Repair and Overhaul Organizations (MROs) to minimize aircraft downtime. While predictive maintenance models have improved, accurately identifying materials, especially spare parts, for specific maintenance events remains challenging. This paper...
master thesis 2023
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van Kessel, Paul (author)
Scheduling of airline maintenance tasks takes place in a disruptive environment. The stochastic arrival of non-routine maintenance tasks causes schedules to be adjusted continuously. Within this research a mixed integer linear programming model for airline maintenance task rescheduling in a disruptive environment is presented. Task scheduling is...
master thesis 2020
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