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Massachusetts Institute of Technology

The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis

Abstract

dc:description.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.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Engineering Systems Division.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Das, Lita
Advisor dc:contributor.advisor
  • Chris Caplice.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/81117
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/81117

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Das, Lita. The impact of bimodal distribution in ocean transportation transit time on logistics costs : an empirical & theoretical analysis. Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81117