Date of Award
Fall 2001
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical & Computer Engineering
Program/Concentration
Electrical 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 G85 2001
Abstract
The proper distribution of resources is a key factor in simulation. Resources provide the supporting facilities, equipment, and personnel for carrying out activities. The number of resources has a direct impact on the overall effectiveness of the simulation as it does in real life. If the number is insufficient, it generally takes more time for the process to complete. On the other hand, if the number is too high, the cost incurred on the resources will be unnecessarily large. Therefore, the count should be a compromise between the two extremes.
In this thesis, an attempt is made to generalize the way resources are acquired in a simulation. The various conditions that might affect the acquisition of resources are studied and a model called the Resource Pool is developed to satisfy the essential requirements with respect to the resources. The main requirements that were considered for the Resource Pool development are that it should be capable of dealing with requests for single and multiple, as well as combined, resources and should be capable of interrupting pending requests. In addition to these, the basic requirement that the requests for the resources should be fulfilled in FCFS (first come, first serve) order is given serious importance. The model developed is an object-oriented model supporting reuse across simulations and object-oriented simulation languages.
The model is developed initially for the PORTSIM project due to the inability of the simulation language MODSIM-III to deal with resources in the manner required by the PORTSIM model. The Resource Pool model is used to simulate numerous resources in a seaport such as drivers, container handlers, and inspectors.
Rights
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DOI
10.25777/2b4t-pp43
Recommended Citation
Gullapalli, Srinivas.
"An Object-Oriented Resource Pool Model in Support of Discrete Event Simulations"
(2001). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/2b4t-pp43
https://digitalcommons.odu.edu/ece_etds/357