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Firefighting Stations Allocation Model for the State of Kuwait

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  • Hana O. A. Al-Omar

    (Kuwait University, Kuwait)

Abstract

The objective is to determine the best re-allocations of the stations to easily reach the accident location with both the least cost and time possible, with the best firefighting effective required facilities. This objective required dividing the six governorates into 133 areas served in 6 minutes efficient response time. The final findings of this study were 30 reallocated stations, which managed effectively to cover all 133 required areas. This has been shown on included maps of the six governorates. The goal linear programming model idea was not discussed in the emergency field research of the “State of Kuwait,” specifically in the firefighting emergency service. Moreover, this modeling can be expanded to cover all other types of emergency service topics such as health, paramedics, and police stations.

Suggested Citation

  • Hana O. A. Al-Omar, 2023. "Firefighting Stations Allocation Model for the State of Kuwait," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 14(1), pages 1-20, January.
    • Handle: RePEc:igg:joris0:v:14:y:2023:i:1:p:1-20
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    References listed on IDEAS

    as
    1. Julian Scott Yeomans & Xin-She Yang, 2014. "Municipal waste management optimisation using a firefly algorithm-driven simulation-optimisation approach," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 4(4), pages 363-375.
    2. Zeynep Gergin & Nükhet Tunçbilek & Şakir Esnaf, 2019. "Clustering Approach Using Artificial Bee Colony Algorithm for Healthcare Waste Disposal Facility Location Problem," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 10(1), pages 56-75, January.
    3. Raha Imanirad & Xin-She Yang & Julian Scott Yeomans, 2013. "A Concurrent Modelling to Generate Alternatives Approach Using the Firefly Algorithm," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 5(2), pages 33-45, April.
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