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http://hdl.handle.net/1903/6927
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| Title: | Queueing network approximations for mass dispensing and vaccination clinics |
| Authors: | Pilehvar, Ali |
| Advisors: | Herrmann, Jefferey |
| Department/Program: | Systems Engineering |
| Type: | Thesis |
| Sponsors: | Digital Repository at the University of Maryland
University of Maryland (College Park, Md.) |
| Keywords: | Engineering, Mechanical (0548)
Engineering, Industrial (0546)
Engineering, General (0537)
Mass dispensing and Vaccination; queueing approximation; Batch arrival; Batch process service; Infinite number of servers; batch size variability |
| Issue Date: | 3-May-2007 |
| Abstract: | To respond to bioterrorism events or to curb outbreaks of contagious diseases, county health departments must set up and operate clinics to dispense medications or vaccines. Planning these clinics before such an event occurs requires determining clinic capacity and estimating queueing performance.
Due to the nature of these facilities, we model a clinic as an open queueing network and estimate the time that county residents will spend at each workstation in such facilities. County residents are the customers, and the servers are the clinic staffs, who are the critical resource. Residents arrive according to an external (not necessarily Poisson) arrival process. When a resident arrives, he goes to the first workstation. Based on his information the resident moves from one workstation to another in the clinic.
We decompose the queueing network by estimating the performance of each workstation using a combination of exact and approximate models. There is a network of nodes and d... |
| URI: | http://hdl.handle.net/1903/6927 |
| Appears in Collections: | Computer Science Theses and Dissertations
UM Theses and Dissertations
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| umi-umd-4427.pdf | | 1147Kb | Adobe PDF | 164 | View/Open |
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