A Simulation Model for the Attention to Users in Emergency Situations in the City of Bogotá

A simulation model is presented for the attention to users in emergency situations in Bogota. This system is vital importance for the development, security and stability of the city. The simulation process begins with an intelligence model that allows acquiring the knowledge of complex process of at...

Full description

Autores:
Mendez Giraldo, Germán
López Santana, Eduyn
Suarez Roldan, Carolina
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/41379
Acceso en línea:
https://doi.org/10.1007/s10562-016-1699-4
https://hdl.handle.net/20.500.12494/41379
Palabra clave:
Computers
Attention of users
Emergencies
Emergency situation
Intelligence modeling
Measures of performance
Security and stability
Simulation
Simulation process
Computer science
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:A simulation model is presented for the attention to users in emergency situations in Bogota. This system is vital importance for the development, security and stability of the city. The simulation process begins with an intelligence model that allows acquiring the knowledge of complex process of attention of users and understanding relationships among resources which attend emergencies. This system is managed by Emergency Regulatory Center (ERC) assigned to the District Health Secretary. Within the results achieved, it is possible to obtain an improvement in measures of performance such as average time in the system and the average time blocked which show an inadequate level service because they are result of excessive time in waiting calls and the subsequent system exit. Different scenarios were proposed in order to increase reception capacity of the incidents in the activation system’s phase, which is equivalent to increase the technicians auxiliaries of regulatory medical (TARM) and of the regulatory doctor (RD). © 2018, Springer Nature Switzerland AG.