| Summary: | 碩士 === 國立屏東科技大學 === 工業管理系所 === 102 === With the blooming development in medical technology and the advancement of living standards, Taiwanese people start to pay more attention to their own health status; as a result, it makes an increasing requirement of health examination. Therefore, the importance of health examination to our nationals is increasingly. In general, hospital schedules of health examination will be carried out manually, but such method not only caused an increase of time for scheduling process, but also manpower-consumed, thus how to establish an efficient scheduling management model is a very important issue to hospitals. For this purpose, this study applied Genetic Algorithms to optimize schedules of health examination. It took a medical health examination center as an example, and used those items and time of health examination and people received such health examination as data basis. Moreover, in terms of parameter setup for Genetic Algorithms, this study designed different populations, crossover rate,mutation rate and elite rate as the parameters, which used to compute the average waiting time for people who will receive such examination, and obtained these average waiting times from various groups of people will receive such examination. Lastly compared each other and obtained the shortest average waiting time for people who will receive health examination and then to be considered as the the most optimal decision of scheduling. Through aforesaid parameter setup of Genetic Algorithms scheduling model, it is able to reduce the waiting time for people who will receive health examination, and uses such efficient scheduling model to advance the service quality of health examination.
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