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Integrated simulation-based optimization of operational decisions at container terminals
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| Veröffentlicht in: | Algorithms Vol. 14.2021,2, Article number 42, insgesamt 21 Seiten |
|---|---|
| Personen und Körperschaften: | , , , , , |
| Titel: | Integrated simulation-based optimization of operational decisions at container terminals/ Marvin Kastner, Nicole Nellen, Anne Kathrina Schwientek and Carlos Jahn |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
2021
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| Gesamtaufnahme: |
: Algorithms, Vol. 14.2021,2, Article number 42, insgesamt 21 Seiten
, volume:14 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| contents | 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. |
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| spelling | Kastner, Marvin VerfasserIn (DE-588)1198158999 (DE-627)1680070215 aut, Integrated simulation-based optimization of operational decisions at container terminals Marvin Kastner, Nicole Nellen, Anne Kathrina Schwientek and Carlos Jahn, 2021, Diagramme, 21, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Sonstige Körperschaft: Technische Universität Hamburg, Sonstige Körperschaft: Technische Universität Hamburg, Institut für Maritime Logistik, DE-830 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2, 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., DE-830 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/, Container terminal DSpace, Simulation DSpace, Simulation-based optimization DSpace, meta-heuristic DSpace, horizontal transportation DSpace, hyper-parameter optimization DSpace, Nellen, Nicole VerfasserIn (DE-588)1222697491 (DE-627)1741922240 aut, Schwientek, Anne Kathrina VerfasserIn (DE-588)1170927262 (DE-627)1040245188 (DE-576)512721629 aut, Jahn, Carlos 1966- VerfasserIn (DE-588)120808757 (DE-627)080899870 (DE-576)181081776 aut, Technische Universität Hamburg (DE-588)1112763473 (DE-627)866918418 (DE-576)476770564 oth, Technische Universität Hamburg Institut für Maritime Logistik (DE-588)117061664X (DE-627)1039806694 (DE-576)512567301 oth, Enthalten in Algorithms Basel : MDPI, 2008 Vol. 14.2021,2, Article number 42, insgesamt 21 Seiten Online-Ressource (DE-627)581036506 (DE-600)2455149-1 (DE-576)286688360 1999-4893 nnns, volume:14 year:2021 number:2 pages:42 extent:21, http://nbn-resolving.de/urn:nbn:de:gbv:830-882.0122892 Resolving-System kostenfrei, https://doi.org/10.15480/882.3269 Resolving-System kostenfrei, http://hdl.handle.net/11420/8621 Resolving-System kostenfrei, https://doi.org/10.3390/a14020042 Resolving-System, https://doi.org/10.3390/a14020042 LFER, http://nbn-resolving.de/urn:nbn:de:gbv:830-882.0122892 LFER, LFER 2021-02-10T09:00:24Z |
| spellingShingle | Kastner, Marvin, Nellen, Nicole, Schwientek, Anne Kathrina, Jahn, Carlos, Integrated simulation-based optimization of operational decisions at container terminals, 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., Container terminal, Simulation, Simulation-based optimization, meta-heuristic, horizontal transportation, hyper-parameter optimization |
| title | Integrated simulation-based optimization of operational decisions at container terminals |
| title_auth | Integrated simulation-based optimization of operational decisions at container terminals |
| title_full | Integrated simulation-based optimization of operational decisions at container terminals Marvin Kastner, Nicole Nellen, Anne Kathrina Schwientek and Carlos Jahn |
| title_fullStr | Integrated simulation-based optimization of operational decisions at container terminals Marvin Kastner, Nicole Nellen, Anne Kathrina Schwientek and Carlos Jahn |
| title_full_unstemmed | Integrated simulation-based optimization of operational decisions at container terminals Marvin Kastner, Nicole Nellen, Anne Kathrina Schwientek and Carlos Jahn |
| title_in_hierarchy | Integrated simulation-based optimization of operational decisions at container terminals / Marvin Kastner, Nicole Nellen, Anne Kathrina Schwientek and Carlos Jahn, |
| title_short | Integrated simulation-based optimization of operational decisions at container terminals |
| title_sort | integrated simulation based optimization of operational decisions at container terminals |
| topic | Container terminal, Simulation, Simulation-based optimization, meta-heuristic, horizontal transportation, hyper-parameter optimization |
| topic_facet | Container terminal, Simulation, Simulation-based optimization, meta-heuristic, horizontal transportation, hyper-parameter optimization |
| url | http://nbn-resolving.de/urn:nbn:de:gbv:830-882.0122892, https://doi.org/10.15480/882.3269, http://hdl.handle.net/11420/8621, https://doi.org/10.3390/a14020042 |
| urn | urn:nbn:de:gbv:830-882.0122892 |