Abstract
Emergency medical services (EMS) refer to various healthcare related services. Like several other EMS activities, ambulance site selection for fastest service to improve the chance of saving a human life is indeed a very important activity in developing countries. Besides other factors, uncertainty in demand of ambulance at a particular location depends on the type of casualty, its service time, and its availability from the nearest service point. The relocation model of ambulances in emergency is one of the typical oldest optimisation problems. In case of a distributed setup, the complexity of these algorithms increases exponentially with the increase of the number of constraints. In this work we try to find an alternative frame work to reduce EMS time using latest art of the technologies along with other additional EMS services at a reasonable cost using a generalised stochastic Petri net (GSPN).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Intelligence Paradigms
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
