Searched for: author%3A%22Tavasszy%2C+Lorant%22
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Prakoso, Emanuel Febrianto (author), Maknoon, M.Y. (author), Pel, A.J. (author), Tavasszy, Lorant (author), Vanga, R. (author)
Due to the uncertain and dynamic environment around scheduling systems, timely revisions or reschedules of the master plans are essential for achieving optimal utilization. With the recent development of Industry 4.0 technologies, many researchers perceive the creation of cyber-physical systems as a solution for managing systems under...
journal article 2022
document
Vanga, R. (author), Maknoon, M.Y. (author), Tavasszy, Lorant (author), Gelper, Sarah (author)
Traffic congestion is uncertain and undesirable in logistics and leads to arrival uncertainty at downstream locations engendering disruptions. This paper considers a loading facility that uses Truck Appointment System (TAS) for slot management and faces incoming truck arrival uncertainty due to traffic congestion. Due to the recent advancements...
conference paper 2022
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Qu, W. (author), Rezaei, J. (author), Maknoon, M.Y. (author), Tavasszy, Lorant (author)
Hinterland freight transportation is managed according to a pre-designed schedule. In daily operations, unexpected uncertainties cause deviation from the original plan. Thus replanning is needed to deal with the perturbations and complete the transportation tasks. This paper proposes a mixed-integer programming model to re-plan hinterland...
journal article 2019