| dc.description.abstract | Based on past research of fires, it is evident that fires can be detected early in their initial stages and prevent the rapid spread of flames if place installing fire protection equipment in accordance with regulations. Next, through regular fire safety management training, employees can use fire equipment such as fire extinguishers and indoor hydrants to put out the fire in its early stages and alert other people to evacuate, thereby minimizing the loss of life and property caused by the fire. To ensure the effective implementation of fire prevention measures, fire departments dispatch personnel to conduct regular fire safety inspections at various public venues. This aims to protect the lives and property of citizens. However, as firefighters become more aware of their own rights, the government has begun to value the issues regarding firefighters′ work-rest schedules. It has called on local fire departments to review and revise outdated duty regulations.
To optimize the manpower assignment for fire safety inspections under quasi-organizational system, this study aims to develop an optimal mathematical model using integer programming through the existing constraints such as available manpower, the number of locations, and duty regulations. The LINGO 20.0 software is used to compute and output the optimized manpower assignment results into Microsoft Excel spreadsheets, The results which are compared with manual scheduling methods not only significantly reduce the time required for manpower scheduling but also minimize discrepancies in the inspection hours among the safety inspection personnel during the execution of safety inspection duties. Additionally, through sensitivity analysis, factors with the greatest impact on the objective function are identified, aiming to enhance fairness and efficiency. This study hopes to provide decision-makers with an evaluation and reference for future personnel allocation. | en_US |