Implementation of Adaptive Routing in Public Logistics Networks
| dc.contributor.advisor | Dr. Michael G. Kay, Committee Chair | en_US |
| dc.contributor.author | Gandlur, Karthik Satyanarayana | en_US |
| dc.date.accessioned | 2010-04-02T17:55:30Z | |
| dc.date.available | 2010-04-02T17:55:30Z | |
| dc.date.issued | 2002-09-17 | en_US |
| dc.degree.discipline | Industrial Engineering | en_US |
| dc.degree.level | thesis | en_US |
| dc.degree.name | MS | en_US |
| dc.description | North Carolina State University Theses Industrial Engineering. | |
| dc.description.abstract | A public logistics network is proposed as a means to extend many of the features associated with public warehouses to the entire supply chain. In addition to providing traditional warehousing and storage functions for hire, a public logistics network would make it possible to negotiate with multiple firms on a load-by-load basis in order to determine the most efficient means of providing the resources needed to complete each stage of a load's transit through the network. The report gives an overview of the supporting technologies that make Public Logistics Network a reality. It is intended to provide a preliminary outlook at the various issues related to implementation and could be used for future research as a basis for building the infrastructure required for the new model. An effort has been made to provide an overview of the Web Services, which will be a logical extension to the implementation of such a network. In addition to that, this report will describe the use of Adaptive Routing Protocol using Java Programming for building a hypothetical Public Logistics Network covering the southeastern United States. The network consists of 36 nodes representing the public distribution centers and 59 routes, which represents various interstate highways connecting them. The model helps identify the different scenarios that may occur, including in-transit trade and cost variations. The scenario representations of the model will be used as a benchmark for future research and development associated with building an actual negotiating agent model. | en_US |
| dc.format | Thesis (M.S.)--North Carolina State University. | |
| dc.identifier.other | etd-08152002-140219 | en_US |
| dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.16/444 | |
| dc.rights | I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. | en_US |
| dc.subject | Adaptive Routing | en_US |
| dc.subject | Logistics | en_US |
| dc.title | Implementation of Adaptive Routing in Public Logistics Networks | en_US |
| dcterms.abstract | Keywords: adaptive routing, logistics. | |
| dcterms.extent | viii, 117 pages : illustrations, color map |
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