MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Marine dock optimization for a bulk chemicals manufacturing facility

Author(s)
Nath, Gaurav (Gaurav Sudhindra); Ramos, Brian
Thumbnail
DownloadFull printable version (7.162Mb)
Alternative title
Marine dock optimization for bulk liquid chemicals
Other Contributors
Massachusetts Institute of Technology. Engineering Systems Division.
Advisor
James B. Rice, Jr.
Terms of use
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
Metadata
Show full item record
Abstract
U.S. petrochemical manufacturers operate in a very challenging environment on account of the recent economic crisis, volatility in crude oil prices, rising capacity in the Middle East, etc. Recently, there has been a focus on logistics costs and, in particular, capacity utilization as a means to retain a competitive edge. This thesis focuses on marine dock optimization for a major bulk chemicals manufacturer. The authors have surveyed the research literature to find commonalities in various approaches to the problem of dock optimization- in the petrochemical shipping industry as well as in allied operational environments such as container shipping. They discuss the inputs that would be needed to build a decision-support-system designed for the express purpose of measuring dock utilization. Following a review of the industry context and relevant literature, the authors develop a demonstrative framework that captures the key variables and constraints affecting loading and unloading operations. The authors speculate that multiple simulation and optimization techniques could sufficiently address the quantification of operational uncertainties at the marine dock. However, emphasis is placed upon the need for thorough data gathering and correct prioritization of variables and constraints affecting efficiency of dock operations.
Description
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (p. 29-30).
 
Date issued
2011
URI
http://hdl.handle.net/1721.1/68896
Department
Massachusetts Institute of Technology. Engineering Systems Division
Publisher
Massachusetts Institute of Technology
Keywords
Engineering Systems Division.

Collections
  • Graduate Theses
  • SCALE Research Reports

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.