LAPSE:2023.35337
Published Article
LAPSE:2023.35337
Optimization of Fire Brigade Deployment by Means of Mathematical Programming
April 28, 2023
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.
Keywords
fire brigade deployment, location analysis, mathematical modeling, service accessibility improvement
Suggested Citation
Leitner B, Ballay M, Kvet M, Kvet M. Optimization of Fire Brigade Deployment by Means of Mathematical Programming. (2023). LAPSE:2023.35337
Author Affiliations
Leitner B: Faculty of Security Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia [ORCID]
Ballay M: Faculty of Security Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia [ORCID]
Kvet M: Faculty of Management Science and Informatics, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia [ORCID]
Kvet M: Faculty of Management Science and Informatics, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Journal Name
Processes
Volume
11
Issue
4
First Page
1262
Year
2023
Publication Date
2023-04-19
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11041262, Publication Type: Journal Article
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LAPSE:2023.35337
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doi:10.3390/pr11041262
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Apr 28, 2023
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