TJ
Tim Jonker
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1
Slimme kaarten op de basisschool
Ervaringen uit het DIRECTORS-project
Journal article
(2025)
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B. van Loenen, H.D. Ploeger, F.M. Welle Donker, Tim Jonker, Ana Kuveždić Divjak, Ivana Bosnic
Het Europese DIRECTORS-project (DIgital data dRiven Education fOR kidS) is opgezet door de Universiteit van Zagreb (Kroatië) en de Technische Universiteit Delft en bedoeld om datageletterdheid in het basisonderwijs te bevorderen door ervaringen te delen en materialen aan te bieden. Het project richt zich op leerlingen van 8-10 jaar en hun leerkrachten. Dit artikel beschrijft de ontwikkelde lesmethoden en de opgedane lessen bij het implementeren ervan op basisscholen in Nederland en Kroatie.
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Het Europese DIRECTORS-project (DIgital data dRiven Education fOR kidS) is opgezet door de Universiteit van Zagreb (Kroatië) en de Technische Universiteit Delft en bedoeld om datageletterdheid in het basisonderwijs te bevorderen door ervaringen te delen en materialen aan te bieden. Het project richt zich op leerlingen van 8-10 jaar en hun leerkrachten. Dit artikel beschrijft de ontwikkelde lesmethoden en de opgedane lessen bij het implementeren ervan op basisscholen in Nederland en Kroatie.
Increasing international maritime transport drives the need for efficient container terminals. The speed at which containers can be processed through a terminal is an important performance indicator. In particular, the productivity of the quay cranes (QCs) determines the performance of a container terminal; hence QC scheduling has received considerable attention. This article develops a comprehensive model to represent the waterside operations of a container terminal. Waterside operations comprise single and twinlift handling of containers by QCs, automated guided vehi- cles and yard cranes. In common practice, an uncoordinated scheduling heuristic is used to dispatch the equipment operating on a terminal. Here, uncoordinated means that the different machines that operate in the container terminal seek optimal productivity solely considering their own respective stage. By contrast, our model provides a coordinated schedule in which operations of all terminal equipment can be considered at once to achieve productivity closer to the QC optimal. The model takes the form of a hybrid flow shop (HFS) with novel features for bi-directional flows and job pairing. The former enables jobs to move freely through the HFS in both directions; the latter constrains certain jobs to be performed simultaneously by a single machine. We solve the coordinated model by means of a tailored simulated annealing (SA) algorithm that balances solution quality and computational time. We empirically study time-bounded variants of SA and compare them with a branch- and-bound algorithm. We show that our approach can produce coordinated sched- ules for a terminal with up to eight QCs in near real time.
...
Increasing international maritime transport drives the need for efficient container terminals. The speed at which containers can be processed through a terminal is an important performance indicator. In particular, the productivity of the quay cranes (QCs) determines the performance of a container terminal; hence QC scheduling has received considerable attention. This article develops a comprehensive model to represent the waterside operations of a container terminal. Waterside operations comprise single and twinlift handling of containers by QCs, automated guided vehi- cles and yard cranes. In common practice, an uncoordinated scheduling heuristic is used to dispatch the equipment operating on a terminal. Here, uncoordinated means that the different machines that operate in the container terminal seek optimal productivity solely considering their own respective stage. By contrast, our model provides a coordinated schedule in which operations of all terminal equipment can be considered at once to achieve productivity closer to the QC optimal. The model takes the form of a hybrid flow shop (HFS) with novel features for bi-directional flows and job pairing. The former enables jobs to move freely through the HFS in both directions; the latter constrains certain jobs to be performed simultaneously by a single machine. We solve the coordinated model by means of a tailored simulated annealing (SA) algorithm that balances solution quality and computational time. We empirically study time-bounded variants of SA and compare them with a branch- and-bound algorithm. We show that our approach can produce coordinated sched- ules for a terminal with up to eight QCs in near real time.