Emergency medical service system design evaluator

Kyohong Shin, Inkyung Sung, Taesik Lee

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

5 Citationer (Scopus)

Abstract

Effectiveness of emergency medical services (EMS) depends on a wide range of decisions in its planning and operation phase such as ambulance locations and dispatching protocols. Much research has been conducted on EMS design and operational decision making in order to improve the quality of EMS systems. It is often the case that these research works focus on a decision problem on a specific aspect and tend to overlook possible interactions from other elements of an EMS system. This paper introduces a simulation model as a generic EMS system design evaluator, where a wide range of design and operational factors are comprehensively incorporated. Experiments using the developed model show that there exist interactions among many design and operational factors in an EMS system, which demonstrates the importance of considering all decisions when developing solutions for a specific decision problem in EMS design and operation.

OriginalsprogEngelsk
TitelProceedings of the 2013 Winter Simulation Conference - Simulation : Making Decisions in a Complex World, WSC 2013
Antal sider12
Publikationsdato2013
Sider2410-2421
Artikelnummer6721615
ISBN (Trykt)9781479939503
DOI
StatusUdgivet - 2013
Udgivet eksterntJa
Begivenhed2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 - Washington, DC, USA
Varighed: 8 dec. 201311 dec. 2013

Konference

Konference2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
Land/OmrådeUSA
ByWashington, DC
Periode08/12/201311/12/2013
SponsorAssociation for Computing Machinery: Special Interest Group on Simulation (ACM/SIGSIM), Institute of Industrial Engineers (IIE), Institute for Operations Research and the Management Sciences: Simulation Society (INFORMS-SIM), The Society for Modeling and Simulation International (SCS)

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