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Scheduling truck arrivals for efficient container flow management in port logistics
Daniil Baldouski, Miklós Ferenz Krész, Balázs Dávid, 2025, original scientific article

Abstract: The management of truck arrivals at container terminals is crucial for efficient port operations. Congestions developing both outside and inside the gates can cause logistical problems, while also having a significant impact on the environment and the surroundings of the port. Therefore, optimizing truck queues outside the gates of the port, as well as routing of trucks inside the terminals can lead to an improve- ment in the overall efficiency of the port processes. This paper presents a mixed- integer linear programming formulation to determine these optimal truck routes and schedules. The model considers a port with an external parking lot, multiple gates, internal roadways, and docks. A rolling horizon heuristic is also developed for the solution of instances where the model is otherwise intractable. The developed meth- ods are evaluated on instances simulated based on real-world data.
Keywords: scheduling, port logistics, container flow optimization, simulation, mixed-integer linear programming
Published in RUP: 04.07.2025; Views: 77; Downloads: 2
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Problem predstavitve objektov v psevdo-evklidskem prostoru : zaključna naloga
Marko Palangetić, 2016, undergraduate thesis

Keywords: algorithms, optimization, mathematical programming
Published in RUP: 13.11.2017; Views: 5075; Downloads: 75
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Računalniške metode za načrtovanje polipeptidnega origamija : zaključna naloga
Daniel Silađi, 2017, undergraduate thesis

Keywords: algorithms, optimization, metaheuristics
Published in RUP: 09.11.2017; Views: 3506; Downloads: 28
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Parallel ant colony optimization on the GPU
Marko Grgurovič, Andrej Brodnik, 2011, published scientific conference contribution abstract

Keywords: ant colony optimization, parallel algorithms, traveling salesman problem, GPGPU
Published in RUP: 15.10.2013; Views: 4516; Downloads: 69
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