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den Bakker, Yvonne (author)
E-mobility, in particular electric vehicles (EVs), play a crucial role in the energy transition. While businesses are increasingly adopting EVs, there is still a lot of opportunity to grow. One aspect of this growth is the way these vehicles are used by companies, especially when it comes to the logistics of EV charging. To encourage companies...
master thesis 2024
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van Tooren, Tim (author)
This Master’s thesis investigates strategies for Yonderland, Europe's largest premium outdoor retailer, to attract and retain Generation Z, a demographic not previously targeted by the company. Through extensive research, including qualitative and quantitative methods, a literature review, interviews with stakeholders, and multiple creative...
master thesis 2024
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de Groot, Patrick (author)
Current service and installation activities for offshore wind turbines are carried out by jack-up vessels, which eliminate wave disturbances to a large extent. The use of these vessels imposes several disadvantages, including high operational costs and the limitation of operating in restricted water depths. An alternative is a crane mounted on a...
master thesis 2024
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Beeravelli, Arun Datta (author)
The Global Shipping industry is responsible for transporting 90% of global commerce and is responsible for 3% of global greenhouse gas (GHG) emissions. Addressing this, the International Maritime Organization (IMO) aims to reduce GHG emissions from international shipping by 40% by 2030 and achieve net zero by 2050. This study explores Low...
master thesis 2024
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Degeling, Pieter (author)
New methods of ship propulsion are required to meet the targets for reducing global emissions of greenhouse gases. Hydrogen-powered fuel cells can be used to greatly reduce emissions, facilitating renewable shipping. Fuel cell durability is recognised as a large barrier to widespread fuel cell application. The goal of this graduation project is...
master thesis 2024
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Molhoek, Jord (author)
Many real-world problems fall in the category of sequential decision-making under uncertainty; Markov Decision Processes (MDPs) are a common method for modeling such problems. To solve an MDP, one could start from scratch or one could already have an idea of what good policies look like. Furthermore, there could be uncertainty in this idea. In...
master thesis 2024
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Koldewijn, Niels (author)
Reusing water is a crucial part of the solution for addressing the growing concern regarding the risk of water scarcity in industrialized and urbanized areas. This study introduces a tool for the design of water networks, focusing on water reuse in industrial parks. Utilizing a mixed-integer nonlinear programming (MINLP) model developed earlier,...
master thesis 2024
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Caranti, Leonardo (author)
This Master Thesis investigates the possible improvements to the Target Time Management concept to optimize the arrival flows for SWISS International Airlines. The aim is to improve operational performance based on the current model used, as well as prove that Target Time Management constitutes a valuable system to improve operations in a...
master thesis 2024
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van der Kraan, Frenk (author)
Gaining insights into anticipated future expenses is essential for both the planning and construction phases of a project. A significant factor in future costs, particularly over extended periods, is the variability of material and labor prices. the change in costs over time, known as ’cost escalation,’ has been the focus of numerous research...
master thesis 2024
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Verlinde, Lander (author)
The role of Unmanned Aerial Vehicles (UAVs), more commonly known as drones, in society continues to become more significant every day, both in everyday life and in military operations. The extent to which unmanned vehicles are used for both offensive as well as reconnaissance missions is at an all-time high. To expand the number of operational...
student report 2024
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Skoulas, Vasileios (author)
Long truck queues and congestion around terminals is a common sight, however they come with many negative externalities for all the stakeholders involved. Truck Appointment System (TAS) is the most commonly used system to face these problems, but it still has some drawbacks and limitations. Consequently, in this research an extension of the...
master thesis 2024
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Katona, Misha (author)
Through several contractions, stiff competition, and increasing passenger expectations, airports must evolve continually. One of the main avenues for this has been improving the efficiency of the security check- points, which are airports’ primary bottlenecks. Operational optimisation methods, such as resource and task scheduling are relatively...
master thesis 2024
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Hyde, Edward (author)
As the aviation industry has agreed on the goal of achieving net-zero CO2 emissions by 2050, various mitigation strategies are being deployed and developed. This paper focuses on reducing emissions at airports by towing aircraft instead of taxiing with their main engines; dispatch towing. This is done by developing a model to optimise the...
master thesis 2024
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Arnoldus, Matthijs (author)
Computational efficiency is essential for large-scale mathematical optimisation problems, such as the generation expansion planning problem, to be practically applicable. In linear programming solvers, crossover is frequently a bottleneck when solving optimisation problems. This study aims at determining why crossover is a bottleneck in solving...
master thesis 2024
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Balakina, Lena (author)
This thesis investigates the transition of traditional houses into Smart Homes, emphasizing the improvement of residents’ well-being, particularly for those aged 50 to 60. It is set against the rapid growth of Smart Home Devices enabled by the Internet of Things, facilitating easy control and monitoring of home features. There has been a...
master thesis 2024
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Dolanyi, Mihaly (author), Bruninx, K. (author), Toubeau, Jean Francois (author), Delarue, Erik (author)
In competitive electricity markets, the optimal bid or offer problem of a strategic agent is commonly formulated as a bi-level program and solved as a mathematical program with equilibrium constraints (MPEC). If the lower-level (LL) part of the problem can be well approximated as a convex problem, this approach leads to a global optimum. However...
journal article 2024
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Conceição, Lígia (author), Correia, Gonçalo (author), van Arem, B. (author), Tavares, José Pedro (author)
Once trusted, automated vehicles (AVs) will gradually appear in urban areas. Such a transition is an opportunity in transport planning to control undesired impacts and possibly mitigate congestion at a time when both conventional vehicles (CVs) and AVs coexist. This paper deals with the complex transport decision problem of designing part of the...
journal article 2024
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Berndt, Alexander (author), Van Duijkeren, Niels (author), Palmieri, Luigi (author), Kleiner, Alexander (author), Keviczky, T. (author)
The trajectory planning for a fleet of automated guided vehicles (AGVs) on a roadmap is commonly referred to as the multi-agent path finding (MAPF) problem, the solution to which dictates each AGV's spatial and temporal location until it reaches its goal without collision. When executing MAPF plans in dynamic workspaces, AGVs can be...
journal article 2024
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Vakili, S. (author), Khosravi, M. (author), Mohajerin Esfahani, P. (author), Mazo, M. (author)
We study the problem of identifying a linear time-varying output map from measurements and linear time-varying system states, which are perturbed with Gaussian observation noise and process uncertainty, respectively. Employing a stochastic model as prior knowledge for the parameters of the unknown output map, we reconstruct their estimates...
journal article 2024
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Munro, D.P. (author)
This note communicates a simple modification of the optimality criteria (OC) design update—as found in well-known Matlab implementations of the classical topology design problem—to an update based on a quadratic program (QP) with a single linear constraint. This QP update is a special case of the dual of Falk, which in general accommodates...
journal article 2024
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