| Summary: | 碩士 === 國立虎尾科技大學 === 自動化工程系碩士班 === 105 === Taiwan''s lack of firefighter manpower has a serious problem for a very long time, according to " Fire Engine, Equipment and Manpower Allocation Standards for the Municipality, County and City " regulated by Ministry of the Interior in 2013 for manpower configuration; however it did not take different areas of fire service personnel and the number of disasters into account. Therefore, using the limited manpower configuration to achieve the greatest allocation is an important issue.
This study mainly based on a variety of different factors: population density, the number of disaster relief workers, the number of fire safety-related checks, the number of fire engines and firefighters and so on.
The number of disaster relief and the number of fire safety-related checks will be the workload of each unit. The study will use the number of fire truck to be the baseline, with the population density to calculate of each firefighter’s workload, and bring into the firefighters ’salary, using Genetic Algorithm to optimize the daily attendance of each unit. We mainly use the genetic algorithm to calculate data from New Taipei City, Tainan City and Kaohsiung City for 5 times to average out the best number of its people on duty. Finally the results can reduce up to 45.7% of combined labor costs.
This study considers a number of different factors to optimize the allocation of human resources, compared to government manpower allocation method in 2015 can save the most combined labor costs and maximize the human effectiveness.
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