Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling

Sea port container terminals play an important role in the national and regional economy. The integrated scheduling of handling equipment has been recently investigated in literature to improve the performance of the container terminals. In this paper, an integrated scheduling of quay cranes and aut...

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Main Authors: Homayouni, Seyed Mahdi, Tang, Sai Hong, Ismail, Napsiah, Mohd Ariffin, Mohd Khairol Anuar
Format: Article
Language:English
Published: Academic Journals 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23096/
http://psasir.upm.edu.my/id/eprint/23096/1/Using%20simulated%20annealing%20algorithm%20for%20optimization%20of.pdf
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author Homayouni, Seyed Mahdi
Tang, Sai Hong
Ismail, Napsiah
Mohd Ariffin, Mohd Khairol Anuar
author_facet Homayouni, Seyed Mahdi
Tang, Sai Hong
Ismail, Napsiah
Mohd Ariffin, Mohd Khairol Anuar
author_sort Homayouni, Seyed Mahdi
building UPM Institutional Repository
collection Online Access
description Sea port container terminals play an important role in the national and regional economy. The integrated scheduling of handling equipment has been recently investigated in literature to improve the performance of the container terminals. In this paper, an integrated scheduling of quay cranes and automated guided vehicles is formulated as a mixed integer linear programming model. This model minimizes the makespan of all the loading and unloading tasks for a set of cranes in a scheduling problem. Based on the simulated annealing (SA) algorithm, a scheduling method is proposed to solve the problem in a relatively short period of time. Comparison of the respective results of the mathematical model and the SA algorithm evidently shows acceptable performance of the proposed SA algorithm in finding good solutions for practical scheduling problems. Moreover, the effects of three cooling processes and two sets of control parameters on the best solution of the SA are investigated.
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spelling upm-230962015-12-03T06:50:45Z http://psasir.upm.edu.my/id/eprint/23096/ Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling Homayouni, Seyed Mahdi Tang, Sai Hong Ismail, Napsiah Mohd Ariffin, Mohd Khairol Anuar Sea port container terminals play an important role in the national and regional economy. The integrated scheduling of handling equipment has been recently investigated in literature to improve the performance of the container terminals. In this paper, an integrated scheduling of quay cranes and automated guided vehicles is formulated as a mixed integer linear programming model. This model minimizes the makespan of all the loading and unloading tasks for a set of cranes in a scheduling problem. Based on the simulated annealing (SA) algorithm, a scheduling method is proposed to solve the problem in a relatively short period of time. Comparison of the respective results of the mathematical model and the SA algorithm evidently shows acceptable performance of the proposed SA algorithm in finding good solutions for practical scheduling problems. Moreover, the effects of three cooling processes and two sets of control parameters on the best solution of the SA are investigated. Academic Journals 2011-11 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23096/1/Using%20simulated%20annealing%20algorithm%20for%20optimization%20of.pdf Homayouni, Seyed Mahdi and Tang, Sai Hong and Ismail, Napsiah and Mohd Ariffin, Mohd Khairol Anuar (2011) Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling. International Journal of Physical Sciences, 6 (27). pp. 6286-6294. ISSN 1992-1950 http://www.academicjournals.org/journal/IJPS/article-abstract/64AF84B19098
spellingShingle Homayouni, Seyed Mahdi
Tang, Sai Hong
Ismail, Napsiah
Mohd Ariffin, Mohd Khairol Anuar
Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
title Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
title_full Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
title_fullStr Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
title_full_unstemmed Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
title_short Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
title_sort using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
url http://psasir.upm.edu.my/id/eprint/23096/
http://psasir.upm.edu.my/id/eprint/23096/
http://psasir.upm.edu.my/id/eprint/23096/1/Using%20simulated%20annealing%20algorithm%20for%20optimization%20of.pdf