| Summary: | 碩士 === 東吳大學 === 企業管理學系 === 93 === Because medical resources are limited, the competition in the medical industry is violent day by day. Take dentist's clinic industry as an example, it can be regular that its service is produced, patient's demand change , the demand is produced and can be left unused while smaller than supplying, the demand has the situation that production can be insufficient again while exceeding supply, so use reservation system in order to arrange resource distribution. Come as judging criterions, carrying out the arrangement of making an appointment with personnel's experience traditionally, may not necessarily make operators, clinic of dentist, obtain heavy income by resource distribution optimization. It’s also unable to do customer segmentations, in order to offer different service.
The purpose of this thesis is to use Data Mining methods to do customer segmentations, and find out Markov Chain transfer matrix. It combines Yield Management and Markov Chain to construct reservation models. The results of this study indicate that use K-mean method with sequence of the unit time revenue, which can lead extremely good performance in both respects of revenue and efficiency. Use to offer operator's reference, while the customer hives off to carry out, and plan the arrangement, carry on patients of the clinic to a dentist.
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