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Cited 4 time in webofscience Cited 4 time in scopus
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CONSTRAINED RANKING AND SELECTION FOR OPERATIONS OF AN EMERGENCY DEPARTMENT

Authors
Lee, M. L.Park, IPark, D. U.Park, C.
Issue Date
Dec-2017
Publisher
DAAAM INTERNATIONAL VIENNA
Keywords
Healthcare Management; Emergency Department; Simulation; Ranking and Selection; Simio
Citation
INTERNATIONAL JOURNAL OF SIMULATION MODELLING, v.16, no.4, pp.563 - 575
Journal Title
INTERNATIONAL JOURNAL OF SIMULATION MODELLING
Volume
16
Number
4
Start Page
563
End Page
575
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/4948
DOI
10.2507/IJSIMM16(4)1.388
ISSN
1726-4529
Abstract
We consider a problem of finding the optimal number of medical staffs for an emergency department through stochastic simulation. Specifically, the objective is to maximize the expected net profit per period of the emergency department while confining the maximum duration of expected waiting times of critical and noncritical patients. This is formulated as a simulation optimisation problem with two stochastic constraints on waiting times. To find the optimal solution of the problem under statistical guarantees, we introduce a two-step fully sequential ranking and selection framework: we first determine a set of strictly feasible solutions and then select the best solution among them. We implement the proposed framework via Simio and apply it to an emergency department of a university hospital.
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