Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal
In this study, we address the integrated scheduling problem involving quay cranes and IGVs in automated terminals. We construct a mixed-integer planning model with the aim of minimizing the total energy consumption during quay crane and IGV operations, focusing on the loading-operation mode. The mod...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/12/3/376 |
| _version_ | 1797240486056951808 |
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| author | Yuedi Luo Xiaolei Liang Yu Zhang Kexin Tang Wenting Li |
| author_facet | Yuedi Luo Xiaolei Liang Yu Zhang Kexin Tang Wenting Li |
| author_sort | Yuedi Luo |
| collection | DOAJ |
| description | In this study, we address the integrated scheduling problem involving quay cranes and IGVs in automated terminals. We construct a mixed-integer planning model with the aim of minimizing the total energy consumption during quay crane and IGV operations, focusing on the loading-operation mode. The model considers the impact of the actual stowage of container ships on the loading order. We propose a dimension-by-dimension mutation sparrow search algorithm to optimize the model’s solution quality. Building upon the standard sparrow search algorithm, we incorporate cat mapping to enhance the diversity of the initial sparrow population. To improve global search in the early stage and local search in the later stage of the algorithm, we introduce an adaptive t-distribution mutation strategy. Finally, a total of 12 instances with container counts containing 30, 100, and 250 were designed for experiments to validate the effectiveness of the model and algorithm. The experiments demonstrate that, by appropriately increasing the number of quay cranes, configuring more than two or three IGVs can achieve optimal energy consumption for overall operations. |
| first_indexed | 2024-04-24T18:08:11Z |
| format | Article |
| id | doaj.art-81577460d8de44ce854e6c6f999c82f1 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-04-24T18:08:11Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-81577460d8de44ce854e6c6f999c82f12024-03-27T13:49:05ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-02-0112337610.3390/jmse12030376Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container TerminalYuedi Luo0Xiaolei Liang1Yu Zhang2Kexin Tang3Wenting Li4School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, ChinaSchool of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, ChinaSchool of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, ChinaIn this study, we address the integrated scheduling problem involving quay cranes and IGVs in automated terminals. We construct a mixed-integer planning model with the aim of minimizing the total energy consumption during quay crane and IGV operations, focusing on the loading-operation mode. The model considers the impact of the actual stowage of container ships on the loading order. We propose a dimension-by-dimension mutation sparrow search algorithm to optimize the model’s solution quality. Building upon the standard sparrow search algorithm, we incorporate cat mapping to enhance the diversity of the initial sparrow population. To improve global search in the early stage and local search in the later stage of the algorithm, we introduce an adaptive t-distribution mutation strategy. Finally, a total of 12 instances with container counts containing 30, 100, and 250 were designed for experiments to validate the effectiveness of the model and algorithm. The experiments demonstrate that, by appropriately increasing the number of quay cranes, configuring more than two or three IGVs can achieve optimal energy consumption for overall operations.https://www.mdpi.com/2077-1312/12/3/376integrated schedulingloading operationloading orderdimension-by-dimension mutation sparrow search algorithm |
| spellingShingle | Yuedi Luo Xiaolei Liang Yu Zhang Kexin Tang Wenting Li Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal Journal of Marine Science and Engineering integrated scheduling loading operation loading order dimension-by-dimension mutation sparrow search algorithm |
| title | Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal |
| title_full | Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal |
| title_fullStr | Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal |
| title_full_unstemmed | Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal |
| title_short | Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal |
| title_sort | energy aware integrated scheduling for quay crane and igv in automated container terminal |
| topic | integrated scheduling loading operation loading order dimension-by-dimension mutation sparrow search algorithm |
| url | https://www.mdpi.com/2077-1312/12/3/376 |
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