SIMULATION WITH DATA SCARCITY: DEVELOPING A SIMULATION MODEL OF A HOSPITAL EMERGENCY DEPARTMENT
Refereed conference paper presented and published in conference proceedings


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摘要Our research was motivated by the resource allocations problem in the Emergency Department at the Prince of Wales Hospital in Hong Kong. We adopted a simulation approach to analysis how the allocation decisions impact patient's experience in the department. The development of the model is complicated by the fact that there are different categories of patients (with different time-varying arrival rates, treatments and procedures), and the data records were incomplete to allow direct estimation of many of the key operational parameters (e.g. the duration of doctor's consultation). To tackle the first issue, patients' arrivals are modelled as Poisson processes with category and time-dependent arrival rates. The second issue is resolved by positing a general distribution (Weibull) for some key processes, and developing meta-heuristic approaches to jointly estimate the distribution parameters. Our computational results show that accurate estimates of the distribution parameters are found using our proposed search procedure, in that the simulated results and the actual data were consistent.
著者Kuo YH, Leung JMY, Graham CA
會議名稱Winter Simulation Conference (WSC)
會議開始日09.12.2012
會議完結日12.12.2012
會議地點Berlin
會議國家/地區德國
詳細描述organized by ASA, ACM/SIGSIM, IEEE/SMC, IIE, Informs-SIM, NIST, SCS, ASIM,
出版年份2012
月份1
日期1
出版社IEEE
國際標準書號978-1-4673-4780-8
電子國際標準書號978-1-4673-4779-2
國際標準期刊號0891-7736
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Theory & Methods

上次更新時間 2020-27-10 於 00:33