A study on the ultrasound patient appointment scheduling problem
碩士 === 中原大學 === 工業與系統工程研究所 === 105 === This research used system simulation to construct a case ultrasound-patient appointment scheduling model, the objective function of which was to minimize patient waiting time cost and machine idle time cost. This study integrated the ant colony optimization (AC...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/42664857157319198027 |
| Summary: | 碩士 === 中原大學 === 工業與系統工程研究所 === 105 === This research used system simulation to construct a case ultrasound-patient appointment scheduling model, the objective function of which was to minimize patient waiting time cost and machine idle time cost. This study integrated the ant colony optimization (ACO) and sample average approximation (SAA) to solve the proposed model in order to obtain the near-optimal ultrasound patient appointment schedule. Based on the numerical data, the results showed that the proposed method had better performance than the current ultrasound-patient appointment scheduling policy (scheduling one patient every 20 minutes).
Furthermore, from the hospital viewpoint, this study found that the new fixed timeslot policy (scheduling one patient every 23 minutes) also had better performance than the current ultrasound-patient appointment scheduling policy. This outcome could help the director of the case image center make better decisions of scheduling ultrasound patients.
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