Decreasing ambulance response time through an optimal base location

Bernardo Villarreal, Edgar Marco Aurelio Granda-Gutierrez, Samantha Lankenau Ana Cristina Bastidas, Andrea Montalvo

Resultado de la investigación

4 Citas (Scopus)

Resumen

An important effort of academic research has been realized to improve ambulance response time (the time between the receipt of a call at the dispatch center and the arrival of the first emergency response vehicle at the scene). This study recommends the application of Lean Transportation concepts to achieve shorter ambulance response times. The approach considers the reduction of the time required to travel distance in excess waste by placing ambulances in optimal locations through mathematical modeling. In this project this is applied to the Monterrey metropolitan operations of the Mexican Red Cross. Results of the application are provided.

Idioma originalEnglish
Título de la publicación alojadaProceedings of the International Conference on Industrial Engineering and Operations Management
EditorialIEOM Society
Páginas422-429
Número de páginas8
Volumen2017
EdiciónJUL
EstadoPublished - jul 2017
EventoEuropean International Conference on Industrial Engineering and Operations Management.IEOM 2017 -
Duración: 24 jul 201725 jul 2017

Serie de la publicación

NombreProceedings of the International Conference on Industrial Engineering and Operations Management

Conference

ConferenceEuropean International Conference on Industrial Engineering and Operations Management.IEOM 2017
Período24/7/1725/7/17

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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  • Citar esto

    Villarreal, B., Granda-Gutierrez, E. M. A., Bastidas, S. L. A. C., & Montalvo, A. (2017). Decreasing ambulance response time through an optimal base location. En Proceedings of the International Conference on Industrial Engineering and Operations Management (JUL ed., Vol. 2017, pp. 422-429). (Proceedings of the International Conference on Industrial Engineering and Operations Management). IEOM Society.