TY - GEN
T1 - Effects of ambulance dispatching and relocation decisions on EMS quality
AU - Díaz-Ramírez, Jenny
AU - De la Peña, María Gulnara Baldoquín
PY - 2017/10/1
Y1 - 2017/10/1
N2 - When a call for a service is received by an Emergency Medical Services (EMS) provider, a decision must be made on which vehicle to send to provide assistance. The dispatched vehicle becomes busy and the system's preparedness to attend a new call decreases. Therefore, to increase this value, idle EMS vehicles could be relocated among the standby sites. This study aims to evaluate the effect on the critical performance measures of the system, the sequential application of a dispatching mathematical model and a relocation model, taking into account the operational requirements of an EMS provider in Colombia. Four scenarios were simulated during a period of maximum activity to evaluate the dynamic state of the system given by the dispatch and relocation decisions. Dispatch decisions should follow the most common rule -dispatch the nearest vehicle- or the optimal solution of a dispatching model. Relocation options were either doing nothing and following the optimal solution of a mathematical relocation model. Both models consider the fleet and the services heterogeneous, and look for to improve the system's preparedness level. The simulated system showed improvements in response times and preparedness levels of up to 54% when the dispatch follows the solution of the mathematical model and no relocation occurs.
AB - When a call for a service is received by an Emergency Medical Services (EMS) provider, a decision must be made on which vehicle to send to provide assistance. The dispatched vehicle becomes busy and the system's preparedness to attend a new call decreases. Therefore, to increase this value, idle EMS vehicles could be relocated among the standby sites. This study aims to evaluate the effect on the critical performance measures of the system, the sequential application of a dispatching mathematical model and a relocation model, taking into account the operational requirements of an EMS provider in Colombia. Four scenarios were simulated during a period of maximum activity to evaluate the dynamic state of the system given by the dispatch and relocation decisions. Dispatch decisions should follow the most common rule -dispatch the nearest vehicle- or the optimal solution of a dispatching model. Relocation options were either doing nothing and following the optimal solution of a mathematical relocation model. Both models consider the fleet and the services heterogeneous, and look for to improve the system's preparedness level. The simulated system showed improvements in response times and preparedness levels of up to 54% when the dispatch follows the solution of the mathematical model and no relocation occurs.
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M3 - Conference contribution
AN - SCOPUS:85067101337
VL - 2017
T3 - Proceedings of the International Conference on Industrial Engineering and Operations Management
SP - 557
EP - 563
BT - Proceedings of the International Conference on Industrial Engineering and Operations Management
PB - IEOM Society
T2 - IEOM Bogota Conference / 1st South American Congress 2017
Y2 - 25 October 2016 through 26 October 2016
ER -