The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis
Thesis (S.M. in Engineering Systems)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1721.1/81117 |
| _version_ | 1826194480488775680 |
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| author | Das, Lita |
| author2 | Chris Caplice. |
| author_facet | Chris Caplice. Das, Lita |
| author_sort | Das, Lita |
| collection | MIT |
| description | Thesis (S.M. in Engineering Systems)--Massachusetts Institute of Technology, Engineering Systems Division, 2013. |
| first_indexed | 2024-09-23T09:56:25Z |
| format | Thesis |
| id | mit-1721.1/81117 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:56:25Z |
| publishDate | 2013 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/811172019-04-12T21:30:06Z The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis Das, Lita Chris Caplice. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division. Engineering Systems Division. Thesis (S.M. in Engineering Systems)--Massachusetts Institute of Technology, Engineering Systems Division, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 103-104). As ocean shipments have increased alongside globalization, transit time uncertainty has increased as well. This problem was observed to have variable levels of impacts on logistics cost and safety stock levels. This thesis examines the effects of bimodality in transit time distributions -in particular, the cost of ignoring bimodality. One method common in practice is to completely ignore variability. On the other hand, a popular theoretical method to account for transit time variability is to assume that demand over transit time is normally distributed. Which is, in many cases, false. To display the incorrectness of such assumptions, the paper will compare the two approaches to empirical analysis on bimodal transit time distributions. by Lita Das. S.M.in Engineering Systems 2013-09-24T19:43:59Z 2013-09-24T19:43:59Z 2013 2013 Thesis http://hdl.handle.net/1721.1/81117 858279395 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 104 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Engineering Systems Division. Das, Lita The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis |
| title | The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis |
| title_full | The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis |
| title_fullStr | The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis |
| title_full_unstemmed | The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis |
| title_short | The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis |
| title_sort | impact of bimodal distribution in ocean transportation transit time on logistics costs an empirical theoretical analysis |
| topic | Engineering Systems Division. |
| url | http://hdl.handle.net/1721.1/81117 |
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