Searched for: contributor%3A%22Verhagen%2C+W.J.C.+%28mentor%29%22
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Heijenrath, Lars (author)
This study provides new insights in the problem of lumpy aircraft spare parts demands by incorporating new drivers that have an impact on the failure patterns of aircraft components. The study introduces a model and presents corresponding results that obtains component failure characteristics based on data from an aircraft manufacturer. A Monte...
master thesis 2021
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Borst, Nick (author)
Estimating the RUL (Remaining Useful Life) of machinery is a useful tool for maintenance and performance operations. This results in lower costs, improved safety and operational improvements.<br/>This paper proposes two adaptations to the CNN-LSTM network provided by Li et al. \cite{Li2019APrediction}, as well as exploring reproducibility,...
master thesis 2020
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Vlamings, Bob (author)
As the profit margins of the airline industry are relatively low, it is of utmost importance to keep costs low in order for airlines to stay competitive. An important cost factor is maintenance costs, as it can take up around 10-20 % of the total direct operational costs. Currently, much development is taking place in developing condition-based...
master thesis 2020
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Ruchser, Isa (author)
Some aircraft damages require immediate attention. Typically, there are several alternative actions, resulting in varying outcomes. Application of MCDM was investigated to quickly choose the best scenario, as this is not always immediately apparent. In doing so, this research contributes to the state-of-the-art by a) considering alternative...
master thesis 2020
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Buijze, Arjen (author)
In aircraft maintenance, performance of routine maintenance tasks is prone to generate additional non-routine tasks. These non- routine tasks relate to solving an unexpected issue and have specific requirements in terms of materiel, tools and manpower. In existing research regarding optimization of aircraft maintenance environments and schedules...
master thesis 2019
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Oudkerk, Thijs (author)
Unplanned maintenance is a costly factor in aircraft operations. Predictive Maintenance aims at reducing the surprise effect of unplanned maintenance and thereby its associated cost. A variety of statistical models are used to estimate the remaining life, as well as sensors to gauge component condition. The application to statistical models of...
master thesis 2019
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Thijssens, Olivier (author)
Global and local aviation traffic is growing while economic and performance pressures on the industry are increasing. As a consequence, airlines try to maximise their fleet utilization. Airline operators and Maintenance, Repair and Overhaul (MRO) providers therefore require as much insight as possible in factors affecting component reliability...
master thesis 2019
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van Odenhoven, Bas (author)
Air forces demand aircraft availability for their operations. In order to increase this availability, there is a need for insight in the effect of environmental conditions on the usage profiles of components and systems. Existing frameworks and standards only provide for static environmental effects on component degradation. The research...
master thesis 2019
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Peschier, Daan (author)
Aircraft base maintenance consists of hundreds of tasks including preventive, corrective and modification tasks which have to be scheduled to a few check moments per year. The allocation of tasks to checks represents a complex scheduling problem due to the constraints involved. A mixed integer linear programming model was developed to optimize...
master thesis 2019
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Geurts, Guus (author)
master thesis 2018
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van Tent Beking, Tom (author)
Delivering air power is the main goal of an Air Force. Military aircraft used to deliver this air power are required to be maintained in accordance with a so-called Aircraft Maintenance Program (AMP). Utilization of military aircraft is assumed to be constant when constructing an AMP. In reality, usage can drastically change over both short- and...
master thesis 2018
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Spaan, Tessa (author)
Aircraft maintenance is inherently unpredictable due to differences in failure rates between components. This results in high variance inflow in repair shops, which in case of insufficient capacity yields long turnaround times and thus the need for additional components in stock. The aim of this research project is to determine the effect of...
master thesis 2018
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IJzermans, Erik (author)
The newest generation of aircraft has seen a strong increase in sensor data generated on-board. The available data has the potential to indicate the health state of individual components based on which their maintenance requirements can be determined, a maintenance strategy called Condition Based Maintenance. Predictive Maintenance is a specific...
master thesis 2018
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Hofman, Ingmar (author)
KLM Engineering and Maintenance provides component availability for numerous airline customers around the world. To ensure on-time performance, inventory is an indelible part of operations. Inventory models allow supply chain engineers to determine the required size of the component pool.Over the course of the project, a multi-echelon inventory...
master thesis 2018
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Narayanan, Prasobh (author)
Airline Maintenance and Engineering (M&amp;E) organizations are faced with a number of repairs time to time for their fleet of aircraft due to accidental damages. As these damages are unpredictable in nature, the approach to repairing these damages is reactive. These type of repairs fall under the category of corrective or unscheduled...
master thesis 2017
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Scherp, L. (author)
Airline maintenance technicians (AMTs) often still rely on paper-based documentation when performing a task. In the limited time during unscheduled tasks, obtaining the right information from these documents can take up to 30% of the available time. To speed up this process, in this thesis it is explored how an automated system can be created...
master thesis 2016
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Fung, K.W. (author)
master thesis 2016
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Lion, W.F. (author)
This thesis investigates the opportunity to use the massive amounts of data coming from modern aircraft to predict maintenance tasks. The goal is to predict defects in such a fashion as to prevent the actual failure from occurring. This results in fewer delays and less maintenance costs. The aircraft data, ACMS data, is analysed using three...
master thesis 2016
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De Boer, L.W.M. (author)
Costs associated to unscheduled and excessively prudent maintenance can contribute significantly to an airline's expenditure. Due to the complex nature of aviation related operations, reliability practices have been limited. In an attempt to improve component reliability, i.e. reduce maintenance-related costs, a new strategy was proposed which...
master thesis 2016
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Prins, G. (author)
A case study on the Boeing 747 Integrated Drive Generator for predicting the remaining useful life (RUL) of the component. Real aircraft data is used with the neural network methodology for the prognostic model. Cost savings can be achieved by applying the model in aircraft maintenance.
master thesis 2016
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