| Summary: | 碩士 === 國立臺灣師範大學 === 運動與休閒管理研究所在職碩士班 === 97 === Abstract
In order to improve tour service quality, many tourist service centers (TSCs) tried to provide tour guides for their visitors. This not only provided the tourists with a background knowledge of the places they have visited but it has also satisfied their demand for good quality of service.
Due to an increase demand for tour guides which also resulted in the increase cost of human resources, it is important to develop a system on how to plan a schedule for these tour guides inorder to minimize costs. Consequently, this study was made to develop an efficient scheduling system to avoid complicated problems which will arise when the number of tour guides and also their working hours has increased. First, a survey was done with regards to the choices and preferences of the tour guides. Second, it was done in accordance to the goal of TSCs. In general, most managers or decision makers of TSCs hope they could get as many available solutions as much as possible in a short time frame. We got good results when genetic algorithm was used for solving the scheduling problem.
An analysis was made in the scheduling of tour guides for Y museum to prove that genetic algorithm is useful. In this study, we realized that genetic algorithm is very efficient in solving the problem of TSCs. This research have contributed to academic field and has also valuable practical use.
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