| Summary: | 碩士 === 國立中山大學 === 應用數學系研究所 === 103 === Controling the running cost of the operating rooms is one of the key points for the hospital management. The cost of operating rooms is high consumption items for the hospital. The effectiveness of operating room is associated with the operating scheduling. Because there are some restrictions for the operating scheduling, for example, the working schedules of doctors or restrictions on the use of the operating rooms. So operating scheduling usually depends on experienced staffs. However, if the schedule is not good enough, it may cause the overtime probability become too high or the utilization rate too low.
This work uses data set from the gynecology department of a major teaching hospital in southern Taiwan. Mixture log-normal distributions are identified to be acceptable statistically in describing the operating times. We estimate the overtime probabilities and corresponding costs according to the combinations of different operating types. In the process of making up the schedules, measures are assigned according to the operating types as well as their status. Moreover, there may also be some restrictions with respect to misjudgment of the operating status by the doctors due to possible unexpected complications during the operations. Here, we provide a scheduling strategy, called the minimum scoring strategy, for minimizing the operating times based on the possible operations coming into the system and complying restrictions mentioned above, using the scoring measures assigned. From the simulation results, the proposed method can effectively reduce overtime probabilities and costs, as well as the idling times of the operating rooms.
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