Simulation-Based Analysis of Dispatching Methods on Seaport Container Terminals

Schwientek, Anne Kathrina; Lange, Ann-Kathrin; Jahn, Carlos

doi:10.1007/978-3-319-74225-0_22

Cited by 4 publications

(2 citation statements)

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“…Furthermore, trucks arriving in the hinterland, which also have to be operated by the RTGs, are not taken into account in the simulation study. However, Schwientek et al [50] show that hinterland traffic negatively affect on the productivity of RTGs only if the share of hinterland exceeds 30 %.…”

Section: Discussionmentioning

confidence: 99%

Integrated Simulation-based Optimization of Operational Decisions at Container Terminals

Kastner¹,

Nellen²,

Schwientek³

et al. 2020

Preprint

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At container terminals, many cargo handling processes are interconnected and take place in parallel. Within short time windows, many operational decisions need to be taken considering both time and equipment efficiency. During operation, many sources for disturbance exist. These are the reason why perfectly coordinated processes are possibly unraveled. An approach that considers disturbance factors while optimizing a given objective is simulation-based optimization. This study analyses simulation-based optimization as a procedure to simultaneously scale the number of utilized equipment and to adjust the choice and tuning of operational policies. The four meta-heuristics Tree-structured Parzen Estimator, Bayesian Optimization, Simulated Annealing, and Random Search guide the simulation-based optimization process. The results show that simulation-based optimization is suitable to identify the amount of required equipment and well-performing policies. Thereby, there is no clear ranking which of the meta-heuristics finds the best approximation of the optimum. The approximated optima suggest that pooling terminal trucks as well as a yard block assignment close to the quay crane is preferable. With an increasing number of quay cranes, the number of optimal terminal trucks for each quay crane decreases as well as the range of truck utilization within one experiment.

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Section: Discussionmentioning

confidence: 99%

Integrated Simulation-based Optimization of Operational Decisions at Container Terminals

Kastner¹,

Nellen²,

Schwientek³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Garro et al [22] discuss that dispatching methods developed for AGV are not suitable for SC due to different processes. Schwientek et al [23] investigate five terminal parameters and three dispatching methods.…”

Section: Dispatching In Horizontal Transportmentioning

confidence: 99%

Simulation-based Analysis of Dispatching Methods on Seaport Container Terminals

Schwientek¹,

Lange²,

Jahn³

2020

Proceedings ASIM SST 2020

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Horizontal transport on a container terminal is the interface between quayside and yard. Efficient transport operations between these two areas are an important issue for terminal operators to achieve a high terminal performance. Thereby, an essential task is to dispatch the respective vehicles to pending container transport orders. Despite the large amount of literature in this field, there is no systematic approach investigating the effects of terminal parameters on the performance of dispatching methods. This discrete event simulation study aims to close that research gap for the case of different dynamic dispatching methods. It shows that the performance of a dispatching method depends highly on the terminal's objectives (e.g. maximizing crane productivity, minimizing driven distances). In addition, it reveals that some terminal parameters influence the performance ranking of the dispatching methods. This implies that there is no dominant dispatching method; the choice should rather depend on the specific terminal objectives and parameters.

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