Quotation Wankmüller, Christian, Truden, Christian, Korzen, Christopher, Hungerländer, Philipp, Kolesnik, Ewald, Reiner, Gerald. 2020. Optimal allocation of defibrillator drones in mountainous regions. OR Spectrum. 42 785-814.




Responding to emergencies in Alpine terrain is quite challenging as air ambulances and mountain rescue services are often confronted with logistics challenges and adverse weather conditions that extend the response times required to provide life-saving support. Among other medical emergencies, sudden cardiac arrest (SCA) is the most time-sensitive event that requires the quick provision of medical treatment including cardiopulmonary resuscitation and electric shocks by automated external defibrillators (AED). An emerging technology called unmanned aerial vehicles (or drones) is regarded to support mountain rescuers in overcoming the time criticality of these emergencies by reducing the time span between SCA and early defibrillation. A drone that is equipped with a portable AED can fly from a base station to the patient’s site where a bystander receives it and starts treatment. This paper considers such a response system and proposes an integer linear program to determine the optimal allocation of drone base stations in a given geographical region. In detail, the developed model follows the objectives to minimize the number of used drones and to minimize the average travel times of defibrillator drones responding to SCA patients. In an example of application, under consideration of historical helicopter response times, the authors test the developed model and demonstrate the capability of drones to speed up the delivery of AEDs to SCA patients. Results indicate that time spans between SCA and early defibrillation can be reduced by the optimal allocation of drone base stations in a given geographical region, thus increasing the survival rate of SCA patients.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal OR Spectrum
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, INF-A, STRAT-A, VW-C, WH-A
Language English
Title Optimal allocation of defibrillator drones in mountainous regions
Volume 42
Year 2020
Page from 785
Page to 814
Reviewed? Y
URL http://link.springer.com/content/pdf/10.1007/s00291-020-00575-z.pdf
DOI http://dx.doi.org/10.1007/s00291-020-00575-z
Open Access Y
Open Access Link https://link.springer.com/article/10.1007/s00291-020-00575-z


Reiner, Gerald (Details)
Hungerländer, Philipp (Alpen-Adria-Universität Klagenfurt, Austria)
Kolesnik, Ewald (Medical University of Graz, Austria)
Korzen, Christopher (Alpen-Adria-Universität Klagenfurt, Austria)
Truden, Christian (Alpen-Adria-Universität Klagenfurt, Austria)
Wankmüller, Christian (Alpen-Adria-Universität Klagenfurt, Austria)
Institute for Production Management (Reiner) (Details)
Institute for Production Management IN (Details)
Research Institute for Supply Chain Management FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1133 Computer-aided simulation (Details)
5307 Business and management economics (Details)
5316 Industrial management (Details)
5326 Production research (Details)
5354 Business logistics (Details)
5365 Quality management (Details)
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