dc.description.abstract | Article 1 of the Fire Services Act explicitly stated three objectives: preventing fire disaster, providing rescue operation, and providing first aid. Firefighting is a 24-hour on-call emergency service with an increasing workload that includes not only on-duty standby but also disaster prevention and on-team training. The increasingly complex and high-risk profession creates a challenging task of personnel management in order to maximize the utilization of talent through the division of labor and effective scheduling of personnel. Optimization theory provides a viable solution to improving the scheduling of a fire department branch, focusing on equal distribution of tasks, reducing physical burden, and generating positive emotions in the workplace.
This study used the individual demands, conditions, and limitations that define the task dispatch of firefighting personnel as parameters of the 0-1 integer programming method to build a mathematical model then used the LINGO 12.0 software to generate solutions. Fine-tuning by modifying parameters and constraints was achieved to satisfy different demands, in order to attain the degree of fair distribution of tasks as expected by personnel. The results were compared to the scheduling results generated through the manual scheduling model. The comparison shows that the mathematical model can obtain solutions quickly. Finally, this study underwent a field test with a county fire department branch with positive results. In comparison with manual scheduling, the model produced in this study is indeed more effective. It can be applied for further internal personnel scheduling and task designation.
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