Scheduling of container-handling equipment during the loading process at an automated container terminal.
Scheduling of container-handling equipment during the loading process at an automated container terminal.
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.
Adaptive GA, Automated container terminal, Container handling equipment, Container loading, Mixed integer programming
Luo, Jiabin
33f52989-5cd7-4101-928c-dc78e6e3c027
Wu, Yue
e279101b-b392-45c4-b894-187e2ded6a5c
1 November 2020
Luo, Jiabin
33f52989-5cd7-4101-928c-dc78e6e3c027
Wu, Yue
e279101b-b392-45c4-b894-187e2ded6a5c
Luo, Jiabin and Wu, Yue
(2020)
Scheduling of container-handling equipment during the loading process at an automated container terminal.
Computers & Industrial Engineering, 149, [106848].
(doi:10.1016/j.cie.2020.106848).
Abstract
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.
Text
Scheduling of container-handling equipm._
- Accepted Manuscript
More information
Accepted/In Press date: 10 September 2020
e-pub ahead of print date: 17 September 2020
Published date: 1 November 2020
Keywords:
Adaptive GA, Automated container terminal, Container handling equipment, Container loading, Mixed integer programming
Identifiers
Local EPrints ID: 445861
URI: http://eprints.soton.ac.uk/id/eprint/445861
ISSN: 0360-8352
PURE UUID: b00fef69-1396-4702-8514-1537e87c72d0
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Date deposited: 12 Jan 2021 17:32
Last modified: 06 Jun 2024 04:09
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Author:
Jiabin Luo
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