Date of Award

Fall 2004

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical & Computer Engineering

Program/Concentration

Computer Engineering

Committee Director

James F. Leathrum, Jr.

Committee Member

Roland R. Mielke

Committee Member

Frederic D. McKenzie

Call Number for Print

Special Collections LD4331.E55 K33 2004

Abstract

CPortS is a transportation logistics simulation that models the flow of military cargo through a seaport and the interaction of the cargo with the port resources and infrastructure. It provides information about the seaport's capabilities, how the cargo has been handled, how many days the cargo took to clear a particular port area, and the overall throughput of the seaport. The model is highly data intensive since it models the huge traffic in a real seaport.

Bottlenecks reduce system performance. Systems that are traffic intensive or simulations of systems, which are data intensive, encounter bottlenecks, which reduce their performance. In order to improve the system performance it is necessary to study the cause of the system bottlenecks and find a way to overcome them. This thesis provides support for Bottleneck analysis of CportS. The thesis stresses mainly on the "Shifting Bottleneck Detection Method" which considers system bottlenecks to be dynamic (shifting from one system component/aspect to another) rather than being static. In addition, a comparative study of the various bottleneck detection strategies will be made by applying them to the CPortS model to uphold the dominance of the shifting bottleneck detection method.

The following study deals in depth with the various bottleneck detection strategies and comes out with a suitable bottleneck detection methodology applicable to the CPortS model. It concludes with the testing results for the proposed methodology.

Rights

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DOI

10.25777/mq07-r828

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