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Erschienen in: OR Spectrum 4/2006

01.10.2006 | Regular Article

Strategies for dispatching AGVs at automated seaport container terminals

verfasst von: Martin Grunow, Hans-Otto Günther, Matthias Lehmann

Erschienen in: OR Spectrum | Ausgabe 4/2006

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Abstract

Control of logistics operations at container terminals is an extremely complex task, especially if automated guided vehicles (AGVs) are employed. In AGV dispatching, the stochastic nature of the handling systems must be taken into account. For instance, handling times of quay and stacking cranes as well as release times of transportation orders are not exactly known in advance. We present a simulation study of AGV dispatching strategies in a seaport container terminal, where AGVs can be used in single or dual-carrier mode. The latter allows transporting two small-sized (20 ft) or one large-sized (40 ft) container at a time, while in single-mode only one container is loaded onto the AGV irrespective of the size of the container. In our investigation, a typical on-line dispatching strategy adopted from flexible manufacturing systems is compared with a more sophisticated, pattern-based off-line heuristic. The performance of the dispatching strategies is evaluated using a scalable simulation model. The design of the experimental study reflects conditions which are typical of a real automated terminal environment. Major experimental factors are the size of the terminal and the degree of stochastic variations. Results of the simulation study reveal that the pattern-based off-line heuristic proposed by the authors clearly outperforms its on-line counterpart. For the most realistic scenario investigated, a deviation from a lower bound of less than 5% is achieved when the dual-load capability of the AGVs is utilized.

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Metadaten
Titel
Strategies for dispatching AGVs at automated seaport container terminals
verfasst von
Martin Grunow
Hans-Otto Günther
Matthias Lehmann
Publikationsdatum
01.10.2006
Verlag
Springer-Verlag
Erschienen in
OR Spectrum / Ausgabe 4/2006
Print ISSN: 0171-6468
Elektronische ISSN: 1436-6304
DOI
https://doi.org/10.1007/s00291-006-0054-3

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