Practice Note

Journal of the Operational Research Society (2009) 60, 869–872; doi:10.1057/palgrave.jors.2602615; published online 28 May 2008

Locating automated external defibrillators in a university community

D C Myers1 and M Mohite1

1Bowling Green State University, Bowling Green, OH, USA

Correspondence: DC Myers, Department of Applied Statistics and Operations Research, Bowling Green State University, Bowling Green, OH 43403, USA. E-mail: myers@bgsu.edu

Received May 2007; Accepted February 2008; Published online 28 May 2008.

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Abstract

Automated external defibrillators (AEDs) use smart technology to determine whether a victim of cardiac arrest requires defibrillation and will deliver a shock only if one is needed. These portable devices are becoming increasingly more available in such places as airports, shopping malls, and sports facilities. This article reports on a model for determining appropriate locations for AEDs in a university community. Additionally, we describe difficulties encountered when attempting to implement the results obtained from the model.

Keywords:

risk management, covering, location problems, health

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