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Zwep, Louise (author)The increasing popularity of e-commerce has led to a greater emphasis on improving parcel delivery processes. Among the various stages of the delivery process, packing parcels into delivery vans affects the delivery time. The efficiency of delivery is optimized when each parcel is conveniently accessible upon arrival, thereby minimizing the...master thesis 2023
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Vermin, Berry (author)The increase in online retail demand has stimulated automation in order picking systems, leading to new challenges and opportunities in task assignment and scheduling. In partially automated order picking systems, such challenges and opportunities exist regarding human factors implementation in the job-shop scheduling problem, an optimisation...master thesis 2023
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Helsdingen, Timothy (author)This study investigates the problem of prioritising trucks at the export area of the KLM Cargo ground handler terminal while maintaining a continuous operation in the unloading area. Due to the uncoordinated nature of truck arrivals and space limitations at the ground handler, substantial waiting times may arise when<br/>trucks arrive...master thesis 2023
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Fu, J. (author), Nunez, Alfredo (author), De Schutter, B.H.K. (author)To ensure the reliability of power systems, the independent system operator (ISO) manages the planning process of the maintenance of generation units for generation companies (GENCOs). This paper focuses on a widely studied two-layer long-term predictive maintenance decision making framework in a deregulated environment. In the first layer...journal article 2023
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Tseremoglou, I. (author), van Kessel, Paul J. (author), Santos, Bruno F. (author)Condition-based maintenance (CBM) scheduling of an aircraft fleet in a disruptive environment while considering health prognostics for a set of systems is a very complex combinatorial problem, which is becoming more challenging in light of the uncertainty included in health prognostics. This type of problem falls under the broad category of...journal article 2023
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Chatterjee, Sarthak (author), Alessandretti, Andrea (author), Aguiar, A. Pedro (author), Gonçalves Melo Pequito, S.D. (author)Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies among the spatial and temporal components of a wide variety of dynamical networks. Notable examples include networked control systems or neurophysiological networks which are created...journal article 2023
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Mathiesen, Frederik Baymler (author), Calvert, S.C. (author), Laurenti, L. (author)Providing non-trivial certificates of safety for non-linear stochastic systems is an important open problem. One promising solution to address this problem is the use of barrier functions. Barrier functions are functions whose composition with the system forms a Martingale and enable the computation of the probability that the system stays...journal article 2023
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Versluis, N.D. (author), Pellegrini, Paola (author), Quaglietta, E. (author), Goverde, R.M.P. (author), Rodriguez, Joaquin (author)Conflict detection and resolution models are being developed to support railway traffic management in taking optimised rescheduling decisions in case of disturbances. Existing models mostly concern fixed-block signalling systems, in which minimum train separation distances are determined based on a preset number of blocks representing worst-case...abstract 2023
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Jiang, Xinzhi (author)Construction schedule optimisation problems have been explored extensively, including activity sequencing rules and work packaging. Yet knowledge is still lacking in the sequencing of mechanical, electrical and plumbing (MEP) components with geometric complexity, and how to handle conflicting precedence between MEP work packages arising from the...master thesis 2022
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Endlich, Luuk (author)The design of a guide-path map is a well-known problem in various industries, such as automated guided vehicle (AGV) systems, road networks, and train track design. Nowadays, designing a path map is a manual, time-consuming, and expensive process. The solutions often turn out to be far from optimal. Several approaches are known to generate path...master thesis 2022
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Neustroev, G. (author)Sequential decision-making under uncertainty is an important branch of artificial intelligence research with a plethora of real-life applications. In this thesis, we generalize two fundamental properties of the decision-making process. First, we show that the theory on planning methods for finite spaces can be extended to infinite but countable...doctoral thesis 2022
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Segeren, Megan (author)In this paper, the emissions mitigation potential of implementing operational towing at major European airports is evaluated. Using mixed-integer linear programming, a scenario simulating mixed taxiing operations is used to find the relationship between fixed vehicle costs and target emission savings at an airport and European level. Using...master thesis 2022
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Moorlag, Lucas (author)The maritime industry is preparing for a future where human presence is no longer required on board of ships. This will revolutionize the global execution of maritime operations and consequentially introduce unprecedented challenges to the corresponding logistics. This paper presents a non-standard facility location problem (FLP) that arises in...master thesis 2022
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Sow, Alex (author)Although there is a common understanding that the use of variable renewable energy sources (VRES) is needed in our collective attempt to decarbonise society, the type of technology that we should deploy, and where is not so clear. Stakeholders from real-world projects use the outcomes from optimisation models to aid their decision-making process...master thesis 2022
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Cinek, Yavuz (author)The energy transition is one of the major challenges of the 21st century, impacting the way energy is generated, conserved and consumed. Energy generation becomes more and more decentralised, intermittency and fluctuations suddenly are becoming topics of interest within day-to-day life and energy system operators are facing many new obstacles...master thesis 2022
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Dijkstra, Finn (author)Packages to encode Machine Learned models into optimization problems is an underdeveloped area, despite the advantages is could provide. The main draw of implementing Machine Learned models into optimization models, is that it allows the optimizer to better account for the human experience.<br/>Maragno D., Wiberg H. et al. constructed an...bachelor thesis 2022
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Smeets, Lucy (author)Sorting systems form an example of event driven systems. These types of systems are referred to as discrete event systems (DES), and they consist of jobs that need to be performed at available resources. In an autonomous sorting system, jobs consist of robots receiving and delivering parcels at the correct locations. With scheduling, optimal...master thesis 2022
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Jansen, Robin (author)The scheduling departments of batch manufacturing plants have to repeatedly solve a complex scheduling problem for the operation of their production lines. This problem can be modeled as a flexible job shop problem (FJSP) in which a set of operations has to be assigned to a set of machines and then the order of operations on each machine has to...bachelor 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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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