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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2008
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| Online Access: | 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 |
| _version_ | 1796968315578482688 |
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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 |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T07:26:39Z |
| format | Article |
| id | upm.eprints-12866 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:26:39Z |
| publishDate | 2008 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | upm.eprints-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/12866/1/A%20statistical%20model%20for%20expected%20cycle%20time%20of%20SPASRS%20an%20application%20of%20Monte%20Carlo%20simulation.pdf |
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