| Summary: | 碩士 === 國立臺灣大學 === 工業工程學研究所 === 101 === The surgical operation is one of the most important processes in a hospital. In order to increase the utilization rate of medical resources and the economic benefit of the hospital, the manager of operation rooms (ORs) should efficiently allocate and manage the medical resources. Numerous medical resources are included in an OR scheduling problem. Moreover, upstream and downstream capacity constraints also significantly affect the performance of OR schedule. Therefore, it is a very complicated issue to conduct the scheduling problem and find the optimal strategy of resources allocation.
The objective of this research is to minimize the fixed cost and the overtime cost of surgical operations as well as the idle cost of ORs. Based on the concept of OR suites and modes, a deterministic mixed integer linear programming (MILP) model is formulated in order to integrate medical resources and plan the schedule of ORs. This general model does not limit to particular surgical departments or organizations. In addition, a heuristic method is constructed to increase the efficiency of solving large-scale problems which may include a large number of surgical jobs, several ORs and types of medical resource in a longer planning horizon.
This research compares the performances of the MILP model and the heuristic method in eight scenarios. According to the comparison results, there are some differences among these scenarios, and the suitable methods for each scenario are discussed. Our results show that the proposed method can provide an efficient OR schedule and medical resources allocation strategy so that the total cost of the hospital decreases and the quality of medical service increases.
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