Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port Congestion
Container seaport congestion is a challenging problem in improving the service level and optimizing evacuating container vessels after congestion. There is a lack of research on container vessel evacuation strategies for continuous terminals. In this article, the weight of the objective function is...
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| Format: | Article |
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MDPI AG
2022-09-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/10/9/1259 |
| _version_ | 1827660015267217408 |
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| author | Shuang Tang Sudong Xu Jianwen Gao Mengdi Ma Peng Liao |
| author_facet | Shuang Tang Sudong Xu Jianwen Gao Mengdi Ma Peng Liao |
| author_sort | Shuang Tang |
| collection | DOAJ |
| description | Container seaport congestion is a challenging problem in improving the service level and optimizing evacuating container vessels after congestion. There is a lack of research on container vessel evacuation strategies for continuous terminals. In this article, the weight of the objective function is regarded as the index for the service priority of vessels. The effects of the service priority on the continuous terminal are analyzed by establishing a mixed integer programming model. The model minimizes the total weighted delay departure time of vessels. Two sets of weight values are adopted, including handling volume of each ship and the squared handling volume, then the optimization results are compared with the unweighted scenario. The model is solved using a genetic algorithm. Lianyungang Port is selected as a case study. The results show that the method using the square of handled container volume is more conducive to ensuring the shipping period of large vessels after congestion. Besides, the quay crane number of large vessels affecting the scheduling strategy is discussed. The method proposed in this article provides a new idea for arranging scheduling strategies in other ports under congestion situations, which can better ensure the planned shipping period of large vessels. |
| first_indexed | 2024-03-09T23:32:17Z |
| format | Article |
| id | doaj.art-90c18a23351145d69d56c917cf98dd21 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T23:32:17Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-90c18a23351145d69d56c917cf98dd212023-11-23T17:07:20ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-09-01109125910.3390/jmse10091259Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port CongestionShuang Tang0Sudong Xu1Jianwen Gao2Mengdi Ma3Peng Liao4Department of Port, Waterway and Coastal Engineering, School of Transportation, Southeast University, Nanjing 211189, ChinaDepartment of Port, Waterway and Coastal Engineering, School of Transportation, Southeast University, Nanjing 211189, ChinaGreen Transportation Center, Jiangsu Sinoroad Engineering Research Institute, Nanjing 211899, ChinaDepartment of Civil & Environmental Engineering, Florida State University, Tallahassee, FL 32306, USADepartment of Port, Waterway and Coastal Engineering, School of Transportation, Southeast University, Nanjing 211189, ChinaContainer seaport congestion is a challenging problem in improving the service level and optimizing evacuating container vessels after congestion. There is a lack of research on container vessel evacuation strategies for continuous terminals. In this article, the weight of the objective function is regarded as the index for the service priority of vessels. The effects of the service priority on the continuous terminal are analyzed by establishing a mixed integer programming model. The model minimizes the total weighted delay departure time of vessels. Two sets of weight values are adopted, including handling volume of each ship and the squared handling volume, then the optimization results are compared with the unweighted scenario. The model is solved using a genetic algorithm. Lianyungang Port is selected as a case study. The results show that the method using the square of handled container volume is more conducive to ensuring the shipping period of large vessels after congestion. Besides, the quay crane number of large vessels affecting the scheduling strategy is discussed. The method proposed in this article provides a new idea for arranging scheduling strategies in other ports under congestion situations, which can better ensure the planned shipping period of large vessels.https://www.mdpi.com/2077-1312/10/9/1259berth allocationquay crane assignmentgenetic algorithmport congestionservice priority |
| spellingShingle | Shuang Tang Sudong Xu Jianwen Gao Mengdi Ma Peng Liao Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port Congestion Journal of Marine Science and Engineering berth allocation quay crane assignment genetic algorithm port congestion service priority |
| title | Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port Congestion |
| title_full | Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port Congestion |
| title_fullStr | Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port Congestion |
| title_full_unstemmed | Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port Congestion |
| title_short | Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port Congestion |
| title_sort | effect of service priority on the integrated continuous berth allocation and quay crane assignment problem after port congestion |
| topic | berth allocation quay crane assignment genetic algorithm port congestion service priority |
| url | https://www.mdpi.com/2077-1312/10/9/1259 |
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