Optimization of Fire Brigade Deployment by Means of Mathematical Programming

Author:

Leitner Bohuš1ORCID,Ballay Michal1ORCID,Kvet Marek2ORCID,Kvet Michal2

Affiliation:

1. Faculty of Security Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia

2. Faculty of Management Science and Informatics, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia

Abstract

The content of this research paper is focused on the applications of selected operation research methods in the field of rescue services. The first theoretical part aims at identifying the most important aspects of the real system, which should be taken into account whenever a rescue system is to be redesigned or optimized. It also contains an in-depth description of system performance. Based on the found criteria, a mathematical model for a new system design is proposed. The second part of this paper is practically oriented. A short case study performed with real data on the rescue service system in Slovakia is reported herein, and the obtained results are compared with current fire brigade deployment. We concentrate on improving the most important criteria of the real system. If the suggested mathematical model proves to be hard to solve with common optimization tools, we will develop an efficient solving algorithm. From a general point of view, the main scientific goal of this research article is to summarize current trends in location science, which could be useful for the optimization of fire brigade deployment. Since the strategic decisions in location service centers to some nodes of the network are usually made for long periods, different properties and possible failures are discussed to be considered with the mathematical models and associated solving tools.

Funder

Scientific Grant Agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic

Cost-effective design of combined charging infrastructure and efficient operation of electric vehicles in public transport in sustainable cities and regions

Slovak Research and Development Agency

University of Žilina grant system

Innovative prediction methods for optimization of public service systems

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

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