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dc.contributor.advisorChris Caplice.en_US
dc.contributor.authorDas, Litaen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2013-09-24T19:43:59Z
dc.date.available2013-09-24T19:43:59Z
dc.date.copyright2013en_US
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/81117
dc.descriptionThesis (S.M. in Engineering Systems)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 103-104).en_US
dc.description.abstractAs 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.en_US
dc.description.statementofresponsibilityby Lita Das.en_US
dc.format.extent104 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.titleThe impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysisen_US
dc.typeThesisen_US
dc.description.degreeS.M.in Engineering Systemsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc858279395en_US


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