Emergency medical service system design evaluator

Kyohong Shin, Inkyung Sung, Taesik Lee

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (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.

Original languageEnglish
Title of host publicationProceedings of the 2013 Winter Simulation Conference - Simulation : Making Decisions in a Complex World, WSC 2013
Number of pages12
Publication date2013
Pages2410-2421
Article number6721615
ISBN (Print)9781479939503
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 - Washington, DC, United States
Duration: 8 Dec 201311 Dec 2013

Conference

Conference2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
Country/TerritoryUnited States
CityWashington, DC
Period08/12/201311/12/2013
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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