Searched for: contributor%3A%22Yorke-Smith%2C+N.+%28mentor%29%22
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van Loon, Joaquin (author)
Situational awareness within port areas is crucial to avoid collisions, navigate efficiently and reduce congestion. Maritime-traffic controllers constantly monitor the situation in the port and intervene when needed. This study proposes a deep learning model that predicts future vessel positions to assist in this process. The model employs a...
master thesis 2023
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Morssink, Wouter (author)
Designing golf course routings is a challenging problem as a golf course should obey the golf course regulation, be safe to play by having enough room between the holes and be diverse and challenging to the golf players. A potential exact solution can come in the form of a constraint programming model, in which solvers take care of the...
master thesis 2022
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Noorthoek, Sterre (author)
In addition to delivering groceries at customers’ doorsteps, online supermarket Picnic goes the extra mile by aiming to improve customer satisfaction. For instance, by providing cooking inspiration to customers through a recently launched recipe page in the app. This feature presents new recipes weekly and allows customers to easily add the...
master thesis 2022
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Goslinga, Daan (author)
The online supermarket Picnic uses the volume of groceries to pack them into totes and bags. While this generally works well, there are cases in which an article's volume fits into a designated space, but its dimensions do not. To prevent this so-called overflow, Picnic uses a maximum fill rate of 85%, which means that no tote can be filled to...
master thesis 2022
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de Wolf, Sarah (author)
Vehicle routing problems (VRP) and Container Loading Problems (CLP) have been studied for decades. However, the combination of the two deserves more attention than in the literature to date. When solving VRP problems, computed routes must be checked for feasibility. Among the feasibility checks to perform, we need to guarantee that the load plan...
master thesis 2022
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Droogh, Marc (author)
The increased heat on an integrated circuit is a limiting factor for the performance and lifetime of a chip. The increased power density on chips resulted in increased heat and the formation of non-uniform hotspots. Earlier research has shown that the package design and layout of package components in flip-chip design can influence the thermal...
master thesis 2022
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van Gelder, Daniël (author)
Increased urbanisation has led to significant challenges for public transport operators. Inconsistent demand leads to peaks in passenger activity on the network. Moreover, the COVID-19 pandemic has introduced a need for social distancing as well, limiting the desired capacity of vehicles. To combat this, intelligent real-time and data-driven...
master thesis 2022
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Kordyl, Agata (author)
The Multi-Level Bin Packing problem is a generalisation of the widely-known NP-hard Bin Packing problem. This work aims to investigate approaching this problem, as well as a version including Class Constraints, through integer programming. By modelling the problems in two ways: standard, and with a network flow approach. The studying of the...
bachelor thesis 2022
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Groenheide, Jeroen (author)
Multi-Level variants of classic optimisation problems are becoming more noteworthy as the complexity of real life applications increases. In this research we investigate the Multi-Level Bin Packing optimisation problem, which models, for example, global logistics and part manufacturing. We will look at the performance of solving Integer Linear...
bachelor thesis 2022
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Tokarz, Kuba (author)
The Multi-Level Bin Packing problem and its variants are some of the most popular combinatorial optimization problems. They have a wide range of real-life applications yet, they are some of the harder problems we know of. In this paper we solve the Multi-Level Bin Packing Problem and a variant of it, Multi-Level Bin Packing Problem with Conflict...
bachelor thesis 2022
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Sağtürk, Can (author)
The multi-level bin packing problem (MLBP) and its variant problem with partial orders (MLBPPO) are NP-Hard problems that can be applied in a logistical setting to improve efficiency in packing. However, despite their possible use cases, there is little to no literature on how to solve these problems in a reasonable amount of time. In this work,...
bachelor thesis 2022
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Le Blansch, Max (author)
This paper introduces and studies the Multi-Level Bin Packing Problem with Time Windows. This is a NP-hard problem with real-world applications in logistics. This problem states that items with certain sizes need to be packed inside bins without exceeding their capacity. These bins then again need to be assigned to other bins while minimizing...
bachelor thesis 2022
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Bobe, Alexandru (author)
Scheduling is required in almost every industry and when done well it can bring a lot of revenue. Flexibility is often forgotten when creating the initial schedules. Therefore, in case of an unexpected delay, the whole schedule has to suffer. In this paper, we consider a re-entrant flow shop with sequence-dependent setup times and relative due...
bachelor thesis 2022
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Karchev, Angel (author)
Delays and complications in different schedules are a common and widely applicable issue in modern society. These problems, if severe enough can cause a preexisting schedule to become infeasible, thus creating additional problems with varying levels of severity. The focus of this work is to showcase a systematic method for modelling potential...
bachelor thesis 2022
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van Delft, Amir (author)
Critical constraints in re-entrant flexible manufacturing systems(FMSs) schedules are those constraints that for some change to their weight (and only the weight), could make the sequence of operation in the schedule infeasible. This paper describes how to find critical constraints by representing the benchmark as a graph and finding its...
bachelor thesis 2022
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van Bokkem, Dirk (author)
The increasing global food demand, accompanied by the decreasing number of expert growers, brings the need for more sustainable and efficient solutions in horticulture. Consultancy company Delphy aims to face this challenge by taking a more data-driven approach, by means of autonomous growing inside the greenhouse. The controlled environment of...
master thesis 2022
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Barendse, Thomas (author)
Demand for online grocer Picnic has increased exponentially over the past years, and their truck transport operation must scale with it. Given the resource constraints at all warehouses, as well as other specific restrictions, this poses a Multi Depot Pickup and Delivery Problem with Resource Constraints, for which no good solutions are found to...
master thesis 2022
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Zeng, Liang (author)
Self-supervised contrastive learning has achieved remarkable performance in computer vision. Its success relies on certain priors that vary from different tasks and data at hand, e.g, the object-centric prior implied by ImageNet. For segmentation on complex scenes, researchers have introduced salient objects or auxiliary labels as priors to...
master thesis 2022
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de Vringer, Stefan (author)
Realistic vehicle routing problems have been highly relevant for years in a wide variety of domains. One such domain is food delivery, where well-crafted routes can reduce costs and contribute to customer satisfaction. This thesis formulates a problem variant for the restaurant meal delivery problem in order to examine the reoptimization of meal...
master thesis 2022
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Hageman, Rico (author)
The Port of Antwerp is the second-largest container port in Europe. The rising demand for container transport requires significant investments in infrastructure projects. Macomi helps the Port of Antwerp to determine the effect of different projects on the throughput of the port using simulation. In this thesis, the aim is to create algorithms...
master thesis 2021
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