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


Full Text

Times Cited
Web of Science2WOS source URL (as at 26/10/2020) Click here for the latest count

Other information
AbstractOur 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.
All Author(s) ListKuo YH, Leung JMY, Graham CA
Name of ConferenceWinter Simulation Conference (WSC)
Start Date of Conference09/12/2012
End Date of Conference12/12/2012
Place of ConferenceBerlin
Country/Region of ConferenceGermany
Detailed descriptionorganized by ASA, ACM/SIGSIM, IEEE/SMC, IIE, Informs-SIM, NIST, SCS, ASIM,
Year2012
Month1
Day1
PublisherIEEE
ISBN978-1-4673-4780-8
eISBN978-1-4673-4779-2
ISSN0891-7736
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Theory & Methods

Last updated on 2020-27-10 at 00:33