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.

Alternatives to the gradient in optimal transfer line buffer allocation

Author(s)
Tanizar, Ketty, 1978-
Thumbnail
DownloadFull printable version (3.852Mb)
Other Contributors
Massachusetts Institute of Technology. Operations Research Center.
Advisor
Stanley B. Gershwin.
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
This thesis describes several directions to replace the gradient in James Schor's gradient algorithm to solve the dual problem. The alternative directions are: the variance and standard deviation of buffer levels, the deviation of the average buffer level from half-full, the difference between probability of starvation and blocking, and the difference between the production rate upstream and downstream of a buffer. The objective of the new algorithms is to achieve the final production rate of the dual problem faster than the gradient. The decomposition method is used to evaluate the production rates and average buffer levels. We find that the new algorithms work better in lines with no bottlenecks. The variance and standard deviation algorithms work very well in most cases. We also include an algorithm to generate realistic line parameters. This algorithm generate realistic line parameters based on realistic constraints set on them. This algorithm does not involve filtering and is fast and reliable.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2004.
 
Includes bibliographical references (p. 113-114).
 
Date issued
2004
URI
http://hdl.handle.net/1721.1/28855
Department
Massachusetts Institute of Technology. Operations Research Center; Sloan School of Management
Publisher
Massachusetts Institute of Technology
Keywords
Operations Research Center.

Collections
  • Graduate Theses

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.