Optimal Location of ambulances in the road network of East Azarbaijan province with a combined approach of factor-based simulation and genetic algorithm

Subject Areas : Industrial Management

Bijan Elmi ¹ , Naghei Shoja ² , Abbass Toloie Ashlaghi ³ , Soleyman Iranzadeh ⁴

1 - PhD Candidate in Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Faculty of Basic Sciences, Islamic Azad University, Firuzkuh Branch, Tehran, Iran.
3 - Professor of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
4 - Department of Industrial Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Received: 2021-01-02 Accepted : 2021-10-15 Published : 2021-11-21

Keywords: Location, deployment, factor-based modeling, Road Network,

Abstract :

The amount and type of resource allocation and adoption of necessary strategies to effectively provide emergency measures, given the vital role of these centers in the health system, and the ability of these centers to respond effectively to emergency calls is an important element in providing patients' health. Find the most optimal location of emergencies according to the interaction between factors, environmental constraints and different behavioral characteristics of different factors assumed in the problem. In terms of practical and descriptive purpose, with the explanatory modeling approach, which uses expert opinion polls in presenting the model and in implementing the model, which is based on the application of metaherstical algorithm. Combined objective and subjective data Factor and environmental variables are modeled through a combined approach of factor-based simulation and metaheuristic algorithm. The initial time to navigate an initial structure for 40 accident hotspots and 5 stations was 7860, which after genetic optimization and the production of a new list, as well as the jump of ambulances from one station to another, the results reached a number between 2700 and 4000. Using this type of optimization can help speed up activities and reduce costs. Due to the unequal traffic of the points, the time of arrival of the ambulance to the accident hotspots will not be equal, so by changing the deployment points, according to the conditions and specializing the characteristics of ambulances and accident hotspots and combining the list of points, the total travel time can be Reduced accident hotspo

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