| Type of Document |
Master's Thesis |
| Author |
Gandlur, Karthik Satyanarayana, |
| Author's Email Address |
kgandlur@yahoo.com |
| URN |
etd-08152002-140219 |
| Title |
Implementation of Adaptive Routing in Public Logistics Networks |
| Degree |
Master of Science |
| Graduate Program |
Industrial Engineering |
| Advisory Committee |
| Advisor Name |
Title |
| Dr. Michael G. Kay |
Committee Chair |
|
| Keywords |
- Adaptive Routing
- Logistics
|
| Date of Defense |
2002-08-13 |
| Availability |
unrestricted |
Abstract
GANDLUR, KARTHIK SATYANARAYANA. Implementation of Adaptive Routing in Public Logistics Networks. (Under the direction of Michael G. Kay.)
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.
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etd.pdf |
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