A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation

The elimination of international trade barriers, lower tariffs, and shifting centers of global manufacturing and consumption leads to new dynamics in intermodal shipping. Advanced technologies, and in particular, automated storage/retrieval systems (AS/RSs) for designing high-capacity automated cont...

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Main Authors: Vasili, Mohammadreza, Tang, Sai Hong, Homayouni, Seyed Mahdi, Ismail, Napsiah
Format: Article
Language:English
Published: Taylor & Francis 2008
Online Access:http://psasir.upm.edu.my/id/eprint/12866/
http://psasir.upm.edu.my/id/eprint/12866/1/A%20statistical%20model%20for%20expected%20cycle%20time%20of%20SPASRS%20an%20application%20of%20Monte%20Carlo%20simulation.pdf
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author Vasili, Mohammadreza
Tang, Sai Hong
Homayouni, Seyed Mahdi
Ismail, Napsiah
author_facet Vasili, Mohammadreza
Tang, Sai Hong
Homayouni, Seyed Mahdi
Ismail, Napsiah
author_sort Vasili, Mohammadreza
building UPM Institutional Repository
collection Online Access
description The elimination of international trade barriers, lower tariffs, and shifting centers of global manufacturing and consumption leads to new dynamics in intermodal shipping. Advanced technologies, and in particular, automated storage/retrieval systems (AS/RSs) for designing high-capacity automated container terminals, have been recently proposed as possible candidates for improving the terminal's efficiency and meeting the challenges of the future in marine transportation. In this article, the authors present an analytical statistical model for computing expected cycle time of split-platform AS/RS (SP-AS/RS), in order to reduce average handling time of this system. The accuracy of the proposed statistical model is validated by Monte Carlo simulation. The results show that the analytical model is reliable for the design and analysis of the SP-AS/RS.
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spelling upm-128662015-10-08T03:11:16Z http://psasir.upm.edu.my/id/eprint/12866/ A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation Vasili, Mohammadreza Tang, Sai Hong Homayouni, Seyed Mahdi Ismail, Napsiah The elimination of international trade barriers, lower tariffs, and shifting centers of global manufacturing and consumption leads to new dynamics in intermodal shipping. Advanced technologies, and in particular, automated storage/retrieval systems (AS/RSs) for designing high-capacity automated container terminals, have been recently proposed as possible candidates for improving the terminal's efficiency and meeting the challenges of the future in marine transportation. In this article, the authors present an analytical statistical model for computing expected cycle time of split-platform AS/RS (SP-AS/RS), in order to reduce average handling time of this system. The accuracy of the proposed statistical model is validated by Monte Carlo simulation. The results show that the analytical model is reliable for the design and analysis of the SP-AS/RS. Taylor & Francis 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12866/1/A%20statistical%20model%20for%20expected%20cycle%20time%20of%20SPASRS%20an%20application%20of%20Monte%20Carlo%20simulation.pdf Vasili, Mohammadreza and Tang, Sai Hong and Homayouni, Seyed Mahdi and Ismail, Napsiah (2008) A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation. Applied Artificial Intelligence, 22 (7-8). pp. 824-840. ISSN 0883-9514; ESSN: 1087-6545 10.1080/08839510802374841
spellingShingle Vasili, Mohammadreza
Tang, Sai Hong
Homayouni, Seyed Mahdi
Ismail, Napsiah
A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation
title A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation
title_full A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation
title_fullStr A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation
title_full_unstemmed A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation
title_short A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation
title_sort statistical model for expected cycle time of sp-as/rs: an application of monte carlo simulation
url http://psasir.upm.edu.my/id/eprint/12866/
http://psasir.upm.edu.my/id/eprint/12866/
http://psasir.upm.edu.my/id/eprint/12866/1/A%20statistical%20model%20for%20expected%20cycle%20time%20of%20SPASRS%20an%20application%20of%20Monte%20Carlo%20simulation.pdf