Date of Award
Summer 2000
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical & Computer Engineering
Program/Concentration
Electrical Engineering
Committee Director
Ravindra P. Joshi
Committee Member
Linda L. Vahala
Committee Member
Lee A. Belfore II
Call Number for Print
Special Collections LD4331.E55 A48
Abstract
Routing has always been a challenging field, and the various techniques of mathematics and operations research have been developed. For commercial organizations, routing has begun to receive extensive attention because of the savings gained in terms of time, money, personnel, and the transportation fleet by developing optimized routing networks. Until recently, it was difficult to develop optimized networks due to the computational difficulties of the problem. However, with the advancement in computer technology and processing speeds, it has become possible to simulate a large number of routing scenarios and determine optimal solutions for a given set of constraints. Not only can existing routes be analyzed for efficiency, various alternative scenarios can be compared with existing solutions.
In this thesis research, a routing simulation study has been carried out based on a commercial software tool. The primary objective was to perform simulation studies to explore various routing scenarios and an optimal delivery network for a local newspaper company. A related task was to understand the underlying routing algorithms, and determine the approach best suited for the problem. A total of nine different scenarios were studied, and based on product mixing and just-in-time delivery concepts. The final results obtained were very encouraging. Compared to the eleven routes currently used by the newspaper, a reduction to eight routed has been predicted.
Rights
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DOI
10.25777/9aap-9b28
Recommended Citation
Akundi, Madhusudhan.
"Routing Optimization Through Computer-Aided Simulation"
(2000). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/9aap-9b28
https://digitalcommons.odu.edu/ece_etds/268
Included in
Computational Engineering Commons, Electrical and Computer Engineering Commons, Operational Research Commons, Software Engineering Commons