In April 2008, the Ontario government announced its top two healthcare priorities for the next 4 years, one of which is reducing wait time in emergency rooms. To study the wait time in emergency rooms or any other departments in a hospital, one must investigate resource planning, scheduling, and utilization within the hospital. This thesis provides hospitals with a set of simulation and optimization tools to help identify areas of improvement, particularly when there are a number of alternatives under consideration. A simulation tool (a Monte Carlo simulation model) estimates patient demand for beds in a hospital during a typical week. Two optimization tools (an integer programming mathematical model and a heuristics model) demonstrate opportunities for smoothing the patient demand for beds by adjusting the operating room schedule.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/33292 |
| Date | 20 November 2012 |
| Creators | Liu, Tian Mu |
| Contributors | Carter, Michael W. |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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