Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode

Rail mounted gantry crane (RMGC) scheduling is important in reducing makespan of handling operation and improving container handling efficiency. In this paper, we present an RMGC scheduling optimization model, whose objective is to determine an optimization handling sequence in order to minimize RMG...

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Detalles Bibliográficos
Autores principales: Wang, Li, Zhu, Xiaoning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235739/
https://www.ncbi.nlm.nih.gov/pubmed/25538768
http://dx.doi.org/10.1155/2014/682486
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author Wang, Li
Zhu, Xiaoning
author_facet Wang, Li
Zhu, Xiaoning
author_sort Wang, Li
collection PubMed
description Rail mounted gantry crane (RMGC) scheduling is important in reducing makespan of handling operation and improving container handling efficiency. In this paper, we present an RMGC scheduling optimization model, whose objective is to determine an optimization handling sequence in order to minimize RMGC idle load time in handling tasks. An ant colony optimization is proposed to obtain near optimal solutions. Computational experiments on a specific railway container terminal are conducted to illustrate the proposed model and solution algorithm. The results show that the proposed method is effective in reducing the idle load time of RMGC.
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spelling pubmed-42357392014-12-23 Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode Wang, Li Zhu, Xiaoning Comput Intell Neurosci Research Article Rail mounted gantry crane (RMGC) scheduling is important in reducing makespan of handling operation and improving container handling efficiency. In this paper, we present an RMGC scheduling optimization model, whose objective is to determine an optimization handling sequence in order to minimize RMGC idle load time in handling tasks. An ant colony optimization is proposed to obtain near optimal solutions. Computational experiments on a specific railway container terminal are conducted to illustrate the proposed model and solution algorithm. The results show that the proposed method is effective in reducing the idle load time of RMGC. Hindawi Publishing Corporation 2014 2014-11-04 /pmc/articles/PMC4235739/ /pubmed/25538768 http://dx.doi.org/10.1155/2014/682486 Text en Copyright © 2014 L. Wang and X. Zhu. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Li
Zhu, Xiaoning
Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode
title Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode
title_full Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode
title_fullStr Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode
title_full_unstemmed Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode
title_short Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode
title_sort rail mounted gantry crane scheduling optimization in railway container terminal based on hybrid handling mode
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235739/
https://www.ncbi.nlm.nih.gov/pubmed/25538768
http://dx.doi.org/10.1155/2014/682486
work_keys_str_mv AT wangli railmountedgantrycraneschedulingoptimizationinrailwaycontainerterminalbasedonhybridhandlingmode
AT zhuxiaoning railmountedgantrycraneschedulingoptimizationinrailwaycontainerterminalbasedonhybridhandlingmode

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