Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3269
Publisher DOI: 10.3390/a14020042
Title: Integrated simulation-based optimization of operational decisions at container terminals
Language: English
Authors: Kastner, Marvin  
Nellen, Nicole  
Schwientek, Anne Kathrina  
Jahn, Carlos 
Keywords: Container terminal;Simulation;Simulation-based optimization;meta-heuristic;horizontal transportation;hyper-parameter optimization
Issue Date: 28-Jan-2021
Publisher: MDPI AG
Source: Algorithms 14 (2): 42 (2021)
Journal or Series Name: Algorithms 
Is supplemented by: 10.5281/zenodo.4473250
Abstract (english): 
At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization. During operation, many sources of disturbance and, thus, uncertainty exist. For these reasons, perfectly coordinated processes can potentially unravel. This study analyzes simulation-based optimization, an approach that considers uncertainty by means of simulation while optimizing a given objective. The developed procedure simultaneously scales the amount of utilized equipment and adjusts the selection and tuning of operational policies. Thus, the benefits of a simulation study and an integrated optimization framework are combined in a new way. Four meta-heuristics - Tree-structured Parzen Estimator, Bayesian Optimization, Simulated Annealing, and Random Search - guide the simulation-based optimization process. Thus, this study aims to determine a favorable configuration of equipment quantity and operational policies for container terminals using a small number of experiments and, simultaneously, to empirically compare the chosen meta-heuristics including the reproducibility of the optimization runs. The results show that simulation-based optimization is suitable for identifying the amount of required equipment and well-performing policies. Among the presented scenarios, no clear ranking between meta-heuristics regarding the solution quality exists. The approximated optima suggest that pooling yard trucks and a yard block assignment that is close to the quay crane are preferable.
URI: http://hdl.handle.net/11420/8621
DOI: 10.15480/882.3269
ISSN: 1999-4893
Institute: Maritime Logistik W-12 
Document Type: Article
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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