Scheduling of container-handling equipment during the loading process at an automated container terminal
•Integration of scheduling all container handling equipment in loading process is studied.•Optimal solutions are obtained for small-sized problems.•An efficient adaptive GA is designed for large-sized problems.•Efficiency analysis is carried out for large-sized problems.•Single cycle and dual cycle...
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| Vydáno v: | Computers & industrial engineering Ročník 149; s. 106848 |
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| Jazyk: | angličtina |
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Elsevier Ltd
01.11.2020
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| ISSN: | 0360-8352, 1879-0550 |
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| Abstract | •Integration of scheduling all container handling equipment in loading process is studied.•Optimal solutions are obtained for small-sized problems.•An efficient adaptive GA is designed for large-sized problems.•Efficiency analysis is carried out for large-sized problems.•Single cycle and dual cycle operations are compared in terms of computational efficiency.
To improve the operational efficiency of container terminals, it is important to consider the coordination of different types of container-handling equipment, which typically include vehicles, yard cranes and quay cranes. This paper addresses the integration of scheduling each constituent of handling equipment in an automated container terminal, in order to minimise the loading element of the ship’s berthing time. A mixed-integer programming (MIP) model was developed to mathematically formulate this challenge. Small-sized problems can be solved optimally using existing solver. In order to obtain approximately optimal solutions for large-sized problems, an adaptive heuristic algorithm was created that can adjust the parameters of a genetic algorithm (GA), according to the observed performance. Experiments were carried out for both small-sized and large-sized problems to analyse the impact of equipment used in the loading process on berthing and computation times, as well as to test the efficiency of our proposed adaptive GA in solving this integrated problem. |
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| AbstractList | •Integration of scheduling all container handling equipment in loading process is studied.•Optimal solutions are obtained for small-sized problems.•An efficient adaptive GA is designed for large-sized problems.•Efficiency analysis is carried out for large-sized problems.•Single cycle and dual cycle operations are compared in terms of computational efficiency.
To improve the operational efficiency of container terminals, it is important to consider the coordination of different types of container-handling equipment, which typically include vehicles, yard cranes and quay cranes. This paper addresses the integration of scheduling each constituent of handling equipment in an automated container terminal, in order to minimise the loading element of the ship’s berthing time. A mixed-integer programming (MIP) model was developed to mathematically formulate this challenge. Small-sized problems can be solved optimally using existing solver. In order to obtain approximately optimal solutions for large-sized problems, an adaptive heuristic algorithm was created that can adjust the parameters of a genetic algorithm (GA), according to the observed performance. Experiments were carried out for both small-sized and large-sized problems to analyse the impact of equipment used in the loading process on berthing and computation times, as well as to test the efficiency of our proposed adaptive GA in solving this integrated problem. |
| ArticleNumber | 106848 |
| Author | Wu, Yue Luo, Jiabin |
| Author_xml | – sequence: 1 givenname: Jiabin orcidid: 0000-0002-2599-2822 surname: Luo fullname: Luo, Jiabin email: j.luo2@aston.ac.uk organization: Department of Operations and Information Management, Aston Business School, Aston University, Birmingham B4 7ET, UK – sequence: 2 givenname: Yue surname: Wu fullname: Wu, Yue email: y.wu@soton.ac.uk organization: Southampton Business School, University of Southampton, Southampton SO17 1BJ, UK |
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| Title | Scheduling of container-handling equipment during the loading process at an automated container terminal |
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