Case study on queuing systems : operation and design of Alexandra Hospital's queuing system using queuing theory
This project is an analysis on the operational performance of a clinic in Alexandra Hospital and the optimization of its operational performance based on the statistical data collected. Mathematical modelling of the real system using queueing analysis is employed as the research method for the reaso...
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2009
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Online Access: | http://hdl.handle.net/10356/18925 |
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sg-ntu-dr.10356-189252023-03-04T18:23:18Z Case study on queuing systems : operation and design of Alexandra Hospital's queuing system using queuing theory Teo, Justin Kim Yong. Chang Seok Ho School of Mechanical and Aerospace Engineering DRNTU::Engineering::Industrial engineering::Operations research This project is an analysis on the operational performance of a clinic in Alexandra Hospital and the optimization of its operational performance based on the statistical data collected. Mathematical modelling of the real system using queueing analysis is employed as the research method for the reasons that it is able to provide an accurate analytical solution and provides a beneficial insight into the system. At the same time, it is an inexpensive method which can be used readily to find optimal solutions instead of just providing an estimate of a performance for a given scenario. Since preventing delays in medical institutes is an important factor, the primary goal of this project is to find an optimal utilization of the available resources in the organisation so as to minimise delays. Given the financial constraints in many medical institutes, this project also aims to use mathematical queueing analysis as a means to reduce costs in the organisation. Bachelor of Engineering (Mechanical Engineering) 2009-08-18T03:29:07Z 2009-08-18T03:29:07Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/18925 en Nanyang Technological University 94 p. application/pdf |
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DRNTU::Engineering::Industrial engineering::Operations research Teo, Justin Kim Yong. Case study on queuing systems : operation and design of Alexandra Hospital's queuing system using queuing theory |
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This project is an analysis on the operational performance of a clinic in Alexandra Hospital and the optimization of its operational performance based on the statistical data collected. Mathematical modelling of the real system using queueing analysis is employed as the research method for the reasons that it is able to provide an accurate analytical solution and provides a beneficial insight into the system. At the same time, it is an inexpensive method which can be used readily to find optimal solutions instead of just providing an estimate of a performance for a given scenario. Since preventing delays in medical institutes is an important factor, the primary goal of this project is to find an optimal utilization of the available resources in the organisation so as to minimise delays. Given the financial constraints in many medical institutes, this project also aims to use mathematical queueing analysis as a means to reduce costs in the organisation. |
author2 |
Chang Seok Ho |
author_facet |
Chang Seok Ho Teo, Justin Kim Yong. |
format |
Final Year Project |
author |
Teo, Justin Kim Yong. |
author_sort |
Teo, Justin Kim Yong. |
title |
Case study on queuing systems : operation and design of Alexandra Hospital's queuing system using queuing theory |
title_short |
Case study on queuing systems : operation and design of Alexandra Hospital's queuing system using queuing theory |
title_full |
Case study on queuing systems : operation and design of Alexandra Hospital's queuing system using queuing theory |
title_fullStr |
Case study on queuing systems : operation and design of Alexandra Hospital's queuing system using queuing theory |
title_full_unstemmed |
Case study on queuing systems : operation and design of Alexandra Hospital's queuing system using queuing theory |
title_sort |
case study on queuing systems : operation and design of alexandra hospital's queuing system using queuing theory |
publishDate |
2009 |
url |
http://hdl.handle.net/10356/18925 |
_version_ |
1759855031313498112 |