Abstract: A sound layout and scheduling plan for fire stations can effectively enhance the efficiency of fire rescue operations. This study introduces the impact of demand points on server efficiency and system saturation loss rate, incorporating the complexities and uncertainties of real-world scenarios into the fire resource optimization model, and proposes an optimization model for fire station layout and scheduling based on hypercube queueing equilibrium, and designs a genetic algorithm to achieve precise and rapid solutions for the model. The results indicate that the strategy of dispatching the nearest units may negatively impact the overall effectiveness of the fire response system. By adopting more effective fire system layout and scheduling strategies, the utilization rate of fire resources, average rescue transit efficiency, and system saturation loss rate can be significantly improved.

Key words: fire rescue, fire station layout, integer programming model, hypercube queuing theory, fire truck dispatch