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Multiple quay cranes scheduling for double cycling in container terminals
Double cycling is an efficient tool to increase the efficiency of quay crane (QC) in container terminals. In this paper, an optimization model for double cycling is developed to optimize the operation sequence of multiple QCs. The objective is to minimize the makespan of the ship handling operation...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5503256/ https://www.ncbi.nlm.nih.gov/pubmed/28692699 http://dx.doi.org/10.1371/journal.pone.0180370 |
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author | Chu, Yanling Zhang, Xiaoju Yang, Zhongzhen |
author_facet | Chu, Yanling Zhang, Xiaoju Yang, Zhongzhen |
author_sort | Chu, Yanling |
collection | PubMed |
description | Double cycling is an efficient tool to increase the efficiency of quay crane (QC) in container terminals. In this paper, an optimization model for double cycling is developed to optimize the operation sequence of multiple QCs. The objective is to minimize the makespan of the ship handling operation considering the ship balance constraint. To solve the model, an algorithm based on Lagrangian relaxation is designed. Finally, we compare the efficiency of the Lagrangian relaxation based heuristic with the branch-and-bound method and a genetic algorithm using instances of different sizes. The results of numerical experiments indicate that the proposed model can effectively reduce the unloading and loading times of QCs. The effects of the ship balance constraint are more notable when the number of QCs is high. |
format | Online Article Text |
id | pubmed-5503256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55032562017-07-25 Multiple quay cranes scheduling for double cycling in container terminals Chu, Yanling Zhang, Xiaoju Yang, Zhongzhen PLoS One Research Article Double cycling is an efficient tool to increase the efficiency of quay crane (QC) in container terminals. In this paper, an optimization model for double cycling is developed to optimize the operation sequence of multiple QCs. The objective is to minimize the makespan of the ship handling operation considering the ship balance constraint. To solve the model, an algorithm based on Lagrangian relaxation is designed. Finally, we compare the efficiency of the Lagrangian relaxation based heuristic with the branch-and-bound method and a genetic algorithm using instances of different sizes. The results of numerical experiments indicate that the proposed model can effectively reduce the unloading and loading times of QCs. The effects of the ship balance constraint are more notable when the number of QCs is high. Public Library of Science 2017-07-10 /pmc/articles/PMC5503256/ /pubmed/28692699 http://dx.doi.org/10.1371/journal.pone.0180370 Text en © 2017 Chu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chu, Yanling Zhang, Xiaoju Yang, Zhongzhen Multiple quay cranes scheduling for double cycling in container terminals |
title | Multiple quay cranes scheduling for double cycling in container terminals |
title_full | Multiple quay cranes scheduling for double cycling in container terminals |
title_fullStr | Multiple quay cranes scheduling for double cycling in container terminals |
title_full_unstemmed | Multiple quay cranes scheduling for double cycling in container terminals |
title_short | Multiple quay cranes scheduling for double cycling in container terminals |
title_sort | multiple quay cranes scheduling for double cycling in container terminals |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5503256/ https://www.ncbi.nlm.nih.gov/pubmed/28692699 http://dx.doi.org/10.1371/journal.pone.0180370 |
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