Queueing networks are often adopted as conceptual paradigms to support decision making in container terminals. Modeling container storage/retrieval operations on the yard of a transshipment hub is no exception to the rule. Here a detailed and tuned discrete-event simulation model versus a simplified and approximate analytical approach is investigated. Using both real data and company operating practices requires particular care when modeling human-operated vehicles that circle between the quay and yard for container handling. Numerical results show that vehicle-centric closed queueing networks should be preferred to decomposed networks under Poisson-type renewal flows. The finite source effects of the the finite fleet of vehicles cannot be disregarded. The take-away for queueing theoreticians is the need for renewed efforts on closed models, while simulationists should shift towards digital-twins to model complex subsystems such as the yard area.

Performance evaluation of container handling in a transshipment hub

Pasquale Legato;Rina Mary Mazza
2022-01-01

Abstract

Queueing networks are often adopted as conceptual paradigms to support decision making in container terminals. Modeling container storage/retrieval operations on the yard of a transshipment hub is no exception to the rule. Here a detailed and tuned discrete-event simulation model versus a simplified and approximate analytical approach is investigated. Using both real data and company operating practices requires particular care when modeling human-operated vehicles that circle between the quay and yard for container handling. Numerical results show that vehicle-centric closed queueing networks should be preferred to decomposed networks under Poisson-type renewal flows. The finite source effects of the the finite fleet of vehicles cannot be disregarded. The take-away for queueing theoreticians is the need for renewed efforts on closed models, while simulationists should shift towards digital-twins to model complex subsystems such as the yard area.
978-86-6075-084-8
transhipment, logistics, storage yard, queueing networks, analytical approximations, discrete-event simulation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/341994
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