Searched for: contributor%3A%22Mitici%2C+M.A.+%28mentor%29%22
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Francken, Arjan (author)
master thesis 2022
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Hennink, Birgitte (author)
master thesis 2022
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Schiettekatte, Niels (author)
Aircraft maintenance methods are shifting from conservative maintenance approaches such as a periodic maintenance approach towards predictive maintenance approaches, leading to a reduction of costs, less unexpected aircraft-on-ground events and less wasted useful life of components. In this paper, we propose a new remaining useful life...
master thesis 2022
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Posthuma, Luuk (author)
Aircraft maintenance is critical to an airline's operations to ensure the reliability, availability, and safety of their assets. Recently, the approach of using component prognostics in aircraft maintenance has received increasing attention in academic- and industrial research. Predictive maintenance has demonstrated promising results in using...
master thesis 2022
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Tindemans, Bas (author)
In order to reduce aircraft emissions during on-ground operations, electric taxiing systems (ETS) have been intensively researched to take over or assist in part of the taxiing phase of a flight. One of these ETS is the TaxiBot, deployed by Smart Airport Systems (SAS). While a number of papers have been researching this vehicle routing problem ...
master thesis 2021
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Reijns, Arthur (author)
This research is relevant to any airline that wants to innovate its maintenance scheduling process bymaking use of data-driven techniques. Shifting towards a data-driven organization holds the potential benefits of increased scheduling efficiency and profits, while decreasing the time required to schedule maintenance on a daily basis. Optimizing...
master thesis 2021
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Debeuckelaere, Bart (author)
This Thesis proposes an optimisation model to minimize operational cost of a fleet of electric thin-haul aircraft under a minimum RPK (Revenue-Passenger Kilometer) constraint. A solution that minimises cost per RPK can be found by varying the minimum RPK level. The solutions describes how many aircraft are needed, as well as a schedule for each...
master thesis 2021
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Vorage, Laurence (author)
To ensure continuous operations at airports, operational schedules need to be able to cope with early and late arriving/departing flights. To optimize such schedules for these events, flight delay predictions are necessary. Till now, flight delay has been studied mainly from a binary and regression standpoint. These type of predictions lack a...
master thesis 2021
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Dutrieux, Sarah (author)
In an effort to improve an airport operation optimization model, this research investigates the possibility of predicting probability distributions of flight delays with machine learning algorithms. The research is centered around Rotterdam The Hague...
master thesis 2021
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Boekweit, Stan (author)
During operation aircraft brakes degrade due to wear. This degradation can be continuously monitored using brake degradation sensors. Using this monitored degradation data the remaining useful life of the brakes can be estimated by means of a prognostic model based on a Gamma probability distribution. Using the remaining useful life estimations...
master thesis 2021
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Kroese, Jurjen (author)
Electric taxiing (ET) is a novel concept that focuses on replacing engine-powered aircraft taxiing by taxiing using electrically powered towing vehicles, called ET vehicles. The main purpose of ET is reducing the impact of aviation on climate change while at the same time saving fuel costs. In this paper, we propose two models that can be used...
master thesis 2021
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Croese, Joël (author)
Over the recent years a significant amount of research has been conducted to develop models which are able to estimate a components Remaining Useful Life (RUL) based on available sensor readings. In this research a deep learning (DL) model in combination with a similarity-based curve matching technique is used to estimate the RUL of a component....
master thesis 2020
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Hendrickx, Rik (author)
As on-time performance is one of the main contributors to success in the world of commercial aviation, predictions on flight delays and cancellations can significantly improve operational efficiency and thus quality of service. Since flight delays and cancellations are occasional and infrequent events, operational on-time performance data is...
master thesis 2020
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Vervaat, Robin (author)
This paper addresses the airline centred Arrival Sequencing and Scheduling problem aimed at the smart distribution of arrival delays, considering the explicit preferences from users. We consider the scenario in which actions are executed solely in the en-route phase with the available leeway present in the<br/>current ATM system. The arrival...
master thesis 2020
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Carrillo Galera, Maria del Mar (author)
The competition in the airline industry has rapidly increased during the last decades, especially with the entrance in the market of low-cost carriers. The high costs incurred in Maintenance, Repair and Overhaul (MRO) activities are generating a great interest in the improvement of maintenance operations as a way to stay competitive in the...
master thesis 2020
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Doutsis, Anestis (author)
Demand for air transportation is expected to continue growing. Within Europe one of the biggest impacts of this traffic growth, is an increase of air travel delay. As it happened during the summer of 2018, where demand from aircraft intending to enter an air sector was not complemented with capacity to safely accommodate it. Incentivised by this...
master thesis 2020
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Ramos Pereira, Madalena (author)
This MSc Thesis proposes a two-stage optimization model that aims at assigning electric aircraft to missions while minimizing the electric aircraft's acquisition and battery renewal costs. We assume that the electric aircraft can both charge or swap batteries between two missions. The charging is performed until the electric aircraft has...
master thesis 2019
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Willaert, Dennis (author)
To accommodate the fast growing air traffic in a safe and efficient way, an ATM paradigm shift from current Time Based Operations towards Trajectory Based Operations (TBO) is envisioned. TBO entails the exchange, maintenance and use of consistent 4D trajectory information for collaborative decision-making on the flight. This thesis addresses a...
master thesis 2019
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L'Ortye, Jules (author)
The Flight-to-Gate Assignment Problem (FGAP) covers the optimal assignment of flights, or rather the aircraft serving these flights, to the available aircraft stands. Existing FGAP models in literature do not consider airside and landside processes simultaneously. We propose a FGAP model with three specifications, where only airside constraints...
master thesis 2019
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de Mol, Esther (author)
One of the main bottlenecks in air transport operations is the runway capacity at airports. As such, managing aircraft arrivals and departures is of great importance to ensure smooth and efficient airport operations. The research objective of this article is to model the airport departure process at Vienna Airport under the influence of...
master thesis 2019
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