2026-09-21T22:15:17Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/811172026-06-06T01:05:15Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Chris Caplice.
Das, Lita
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Engineering Systems Division
2013-09-24T19:43:59Z
2013-09-24T19:43:59Z
2013
2013
http://hdl.handle.net/1721.1/81117
858279395
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
104 p.
eng
Massachusetts Institute of Technology
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
Engineering Systems Division.
The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis
Thesis
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Publication
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<Abstract>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.</Abstract>
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