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Emergency department design evaluation and optimization using discrete event simulation
The proposed research would help any architect/owner decide the number of rooms/ cubicles for each sub-department of the ED, as well as have an estimated price for the ED, in order to optimally serve patients entering the ED with a known arrival rate. A thorough literature review was undertaken to c...
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| Format: | Thesis |
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AUC Knowledge Fountain
2012
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| _version_ | 1867613416549515264 |
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| access_status_str | Open Access |
| author | Rofaeel, Irinie Wanis Tadros |
| author_browse | Rofaeel, Irinie Wanis Tadros |
| author_facet | Rofaeel, Irinie Wanis Tadros |
| author_sort | Rofaeel, Irinie Wanis Tadros |
| collection | Thesis |
| dc_rights_str_mv | The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. |
| description | The proposed research would help any architect/owner decide the number of rooms/ cubicles for each sub-department of the ED, as well as have an estimated price for the ED, in order to optimally serve patients entering the ED with a known arrival rate. A thorough literature review was undertaken to collect data concerning the application of decision support tools for minimizing patient waiting times and maximizing the utilization rate in health care systems. Interviews were made with hospital managers in order to verify process flow, waiting times, activity durations, and resources. In addition, several floor plans of EDs have been studied in order to assure the logical flow of the process. Based on the data collected and the several verifications, a discrete event simulation model was developed using ARENA software. This simulation model was then verified by building a similar model on different software, which was AnyLogic. The results proved the accuracy of the model. Twenty additional simulation runs were performed to be used for the regression analysis. The equations resulted from the regression analysis were used for the optimization model. A genetic algorithm was used for the purpose of obtaining optimized resource allocation for different arrival rates within a constrained budget, area, and patient waiting time in the system. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-2231 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:47.730Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-2231 Emergency department design evaluation and optimization using discrete event simulation Rofaeel, Irinie Wanis Tadros The proposed research would help any architect/owner decide the number of rooms/ cubicles for each sub-department of the ED, as well as have an estimated price for the ED, in order to optimally serve patients entering the ED with a known arrival rate. A thorough literature review was undertaken to collect data concerning the application of decision support tools for minimizing patient waiting times and maximizing the utilization rate in health care systems. Interviews were made with hospital managers in order to verify process flow, waiting times, activity durations, and resources. In addition, several floor plans of EDs have been studied in order to assure the logical flow of the process. Based on the data collected and the several verifications, a discrete event simulation model was developed using ARENA software. This simulation model was then verified by building a similar model on different software, which was AnyLogic. The results proved the accuracy of the model. Twenty additional simulation runs were performed to be used for the regression analysis. The equations resulted from the regression analysis were used for the optimization model. A genetic algorithm was used for the purpose of obtaining optimized resource allocation for different arrival rates within a constrained budget, area, and patient waiting time in the system. 2012-02-01T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/1232 https://fount.aucegypt.edu/context/etds/article/2231/viewcontent/Theses_20Paper.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. Theses and Dissertations AUC Knowledge Fountain Simulation Design |
| spellingShingle | Simulation Design Rofaeel, Irinie Wanis Tadros Emergency department design evaluation and optimization using discrete event simulation |
| title | Emergency department design evaluation and optimization using discrete event simulation |
| title_full | Emergency department design evaluation and optimization using discrete event simulation |
| title_fullStr | Emergency department design evaluation and optimization using discrete event simulation |
| title_full_unstemmed | Emergency department design evaluation and optimization using discrete event simulation |
| title_short | Emergency department design evaluation and optimization using discrete event simulation |
| title_sort | emergency department design evaluation and optimization using discrete event simulation |
| topic | Simulation Design |
| url | https://fount.aucegypt.edu/etds/1232 https://fount.aucegypt.edu/context/etds/article/2231/viewcontent/Theses_20Paper.pdf |
| work_keys_str_mv | AT rofaeeliriniewanistadros emergencydepartmentdesignevaluationandoptimizationusingdiscreteeventsimulation |