Incorporating cycle time uncertainty to improve railcar fleet sizing
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2012
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Online Access: | http://hdl.handle.net/1721.1/68824 |
_version_ | 1811087688363671552 |
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author | Jagatheesan, Jay Kilcullen, Ryan |
author2 | Jarrod Goentzel. |
author_facet | Jarrod Goentzel. Jagatheesan, Jay Kilcullen, Ryan |
author_sort | Jagatheesan, Jay |
collection | MIT |
description | Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011. |
first_indexed | 2024-09-23T13:50:26Z |
format | Thesis |
id | mit-1721.1/68824 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T13:50:26Z |
publishDate | 2012 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/688242019-04-11T03:55:26Z Incorporating cycle time uncertainty to improve railcar fleet sizing Jagatheesan, Jay Kilcullen, Ryan Jarrod Goentzel. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division. Engineering Systems Division. Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 78-79). This thesis involves railcar fleet sizing strategies with a specific company in the chemical industry. We note that the identity of the company in this report has been disguised, and some portions of the fleets have been omitted to mask their actual sizes. However, all analysis in this thesis was conducted on actual data. In our research, we evaluate the appropriateness of both deterministic and stochastic fleet sizing models for this company. In addition, we propose an economic model that is adapted from a basic inventory management policy that can be applied to fleet sizing in order to arrive at a cost-driven solution. Through our research, we demonstrate that the fleet sizing strategy of this company can be improved by incorporating transit time variability into the fleet sizing model. Additionally, we show that fleet sizes can be reduced by accurately characterizing the distributions of the underlying transit and customer holding time data. Finally, we show the potential value of considering economic factors to arrive at a fleet sizing decision that balances the cost of over-capacity with the cost of an insufficient supply of railcars. by Jay Jagatheesan and Ryan Kilcullen. M.Eng.in Logistics 2012-01-30T16:52:22Z 2012-01-30T16:52:22Z 2011 2011 Thesis http://hdl.handle.net/1721.1/68824 772179692 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 79 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Engineering Systems Division. Jagatheesan, Jay Kilcullen, Ryan Incorporating cycle time uncertainty to improve railcar fleet sizing |
title | Incorporating cycle time uncertainty to improve railcar fleet sizing |
title_full | Incorporating cycle time uncertainty to improve railcar fleet sizing |
title_fullStr | Incorporating cycle time uncertainty to improve railcar fleet sizing |
title_full_unstemmed | Incorporating cycle time uncertainty to improve railcar fleet sizing |
title_short | Incorporating cycle time uncertainty to improve railcar fleet sizing |
title_sort | incorporating cycle time uncertainty to improve railcar fleet sizing |
topic | Engineering Systems Division. |
url | http://hdl.handle.net/1721.1/68824 |
work_keys_str_mv | AT jagatheesanjay incorporatingcycletimeuncertaintytoimproverailcarfleetsizing AT kilcullenryan incorporatingcycletimeuncertaintytoimproverailcarfleetsizing |