Searched for: contributor%3A%22Santos%2C+Bruno+F.+%28mentor%29%22
(1 - 20 of 33)

Pages

document
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
document
Malekar, Sumant (author)
This research aims to investigate and experiment on a state-of-the-art problem to treat the non-monotonic behavior of fault progression trends in predictive maintenance. Well-established algorithms and literature are researched for fault progression prognostics, however, not considerable attention has been given to<br/>monotonic constraints at a...
master thesis 2022
document
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
document
YANG, BEIHONG (author)
Network scheduling and fleet assignment are essential tasks for airline operation. In order to generate an optimal flight plan, the flight route and the flight schedule of each aircraft in the fleet requires deliberated consideration and planning. Compared with commercial airlines, which are in pursuit of maximal benefit during the operations,...
master thesis 2022
document
Panse, Sahil (author)
With the increasing availability of sensor data to monitor the health of systems and components, maintenance is encountering a shift from the traditional preventive and corrective methodologies to a predictive approach. Given that maintenance, repair and overhaul are a significant operational cost to organizations, it is imperative that the...
master thesis 2022
document
van der Wal, Wouter (author)
The planning of air cargo across an airlines' network is proven to be a complex problem consisting of multiple subproblems. Currently, all these subproblems are solved sequentially and by hand, resulting in partial solutions instead of an integrated solution. Two of these subproblems are the palletization of items onto ULDs and the scheduling of...
master thesis 2021
document
Hofman, Sam (author)
This paper introduces a new two-stage stochastic optimisation approach for the strategic airline crew planning problem with uncertain demand. The developed model provides the airline with a cockpit crew composition plan per crew position before the flight schedule and crew demand are known. This is done by estimating future crew demand and by...
master thesis 2021
document
Bloothoofd, Martijn (author)
Scheduling of airline maintenance is complex with different influencing factors. A feasible maintenance schedule is constrained by the availability of manpower, machinery, material and method i.e. resources. Therefore, the maintenance schedule is optimized upfront. During the day of operation, disruptive non-routine maintenance tasks will arrive...
master thesis 2021
document
Migom, Rico (author)
Military fighter pilots spend most of their working hours performing training missions, simultaneously carried out by multiple pilots with different qualifications. Scheduling these missions is typically done manually, which is a time-consuming task resulting in far from optimal schedules. This study proposes a model that schedules three types...
master thesis 2021
document
Nijdam, Ben (author)
master thesis 2021
document
Seoane Álvarez, Maria (author)
<br/>Aviation emissions present a significant contribution to climate change. The rate at which new technology is developed cannot suffice the emission reduction requirements for the growth of this industry. Therefore, new areas of improvement, such as operational changes, should be considered. The inclusion of stop-overs in long-haul routes can...
master thesis 2021
document
Zijlstra, Renze (author)
This paper addresses a Maintenance Recovery Problem (MRP), in which disrupted aircraft maintenance schedules are re-optimized within a four-week time frame. The MRP uses an existing flight schedule, maintenance schedule and task detail document to determine the possible scheduling locations. Together with all the scheduling constraints...
master thesis 2021
document
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
document
Elías Ortega, Natalia (author)
master thesis 2021
document
Groeneveld, Diederick (author)
Airline reserve fleet capacity is a wide spread phenomenon and is used to limit the impact of delays on the planned flight schedule. This paper focuses on reserve fleet capacity in the form of standby unscheduled air craft. By means of a Monte Carlo simulation on an existing flight schedule using a rule-based delay mitigation model the...
master thesis 2021
document
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
document
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
document
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
document
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
document
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
Searched for: contributor%3A%22Santos%2C+Bruno+F.+%28mentor%29%22
(1 - 20 of 33)

Pages