Load-In-Load-Out AGV Route Planning in Automatic Container Terminal
Efficient automatic guided vehicle (AGV) scheduling is the key to increase the throughput of automated container terminals. Traditional transport strategies cannot guarantee that AGVs are fully loaded during their traveling between the dock and the container yard, which leads to the insufficient uti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9178290/ |
| _version_ | 1831808022135963648 |
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| author | Yixiang Xu Liang Qi Wenjing Luan Xiwang Guo Huijuan Ma |
| author_facet | Yixiang Xu Liang Qi Wenjing Luan Xiwang Guo Huijuan Ma |
| author_sort | Yixiang Xu |
| collection | DOAJ |
| description | Efficient automatic guided vehicle (AGV) scheduling is the key to increase the throughput of automated container terminals. Traditional transport strategies cannot guarantee that AGVs are fully loaded during their traveling between the dock and the container yard, which leads to the insufficient utilization of AGVs. A load-in-load-out AGV route planning mode provides two-way loading between the dock and the container yard and thus improves the efficiency of container terminals. In this paper, a load-in-load-out AGV route planning model is designed with the help of a buffer zone where an AGV can carry at most two containers. A simulated annealing algorithm is used to solve it. Comparisons with the popular generic algorithm and particle swarm algorithm are made. Simulation results show that the proposed algorithm can effectively solve the problem and realize the bi-directional loading of AGVs, which is of great significance to improve the efficiency of the production of automated container terminals. |
| first_indexed | 2024-12-22T20:15:42Z |
| format | Article |
| id | doaj.art-e085301eb9d448289e7b63edc19e4fbb |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:15:42Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e085301eb9d448289e7b63edc19e4fbb2022-12-21T18:13:58ZengIEEEIEEE Access2169-35362020-01-01815708115708810.1109/ACCESS.2020.30197039178290Load-In-Load-Out AGV Route Planning in Automatic Container TerminalYixiang Xu0https://orcid.org/0000-0003-4038-3782Liang Qi1https://orcid.org/0000-0002-0762-5607Wenjing Luan2https://orcid.org/0000-0003-0315-2934Xiwang Guo3https://orcid.org/0000-0002-9142-1251Huijuan Ma4https://orcid.org/0000-0003-2546-8665College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, ChinaCollege of Computer and Communication Engineering, Liaoning Shihua University, Fushun, ChinaQingdao New Qianwan Container Terminal Company Ltd., Qingdao, ChinaEfficient automatic guided vehicle (AGV) scheduling is the key to increase the throughput of automated container terminals. Traditional transport strategies cannot guarantee that AGVs are fully loaded during their traveling between the dock and the container yard, which leads to the insufficient utilization of AGVs. A load-in-load-out AGV route planning mode provides two-way loading between the dock and the container yard and thus improves the efficiency of container terminals. In this paper, a load-in-load-out AGV route planning model is designed with the help of a buffer zone where an AGV can carry at most two containers. A simulated annealing algorithm is used to solve it. Comparisons with the popular generic algorithm and particle swarm algorithm are made. Simulation results show that the proposed algorithm can effectively solve the problem and realize the bi-directional loading of AGVs, which is of great significance to improve the efficiency of the production of automated container terminals.https://ieeexplore.ieee.org/document/9178290/Load-in-load-outAGV schedulingautomated container portsimulated annealing algorithm |
| spellingShingle | Yixiang Xu Liang Qi Wenjing Luan Xiwang Guo Huijuan Ma Load-In-Load-Out AGV Route Planning in Automatic Container Terminal IEEE Access Load-in-load-out AGV scheduling automated container port simulated annealing algorithm |
| title | Load-In-Load-Out AGV Route Planning in Automatic Container Terminal |
| title_full | Load-In-Load-Out AGV Route Planning in Automatic Container Terminal |
| title_fullStr | Load-In-Load-Out AGV Route Planning in Automatic Container Terminal |
| title_full_unstemmed | Load-In-Load-Out AGV Route Planning in Automatic Container Terminal |
| title_short | Load-In-Load-Out AGV Route Planning in Automatic Container Terminal |
| title_sort | load in load out agv route planning in automatic container terminal |
| topic | Load-in-load-out AGV scheduling automated container port simulated annealing algorithm |
| url | https://ieeexplore.ieee.org/document/9178290/ |
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