Department of Logistics, School of Business, Beijing Institute of Technology, Zhuhai, No. 6, Jinfeng Rd., Tangjiawan, Zhuhai, Guangdong, China; Department of Business Administration, National Taipei University of Business, No. 321, Sec. 1, Jinan Rd., Taipei City 100, Taiwan, ROC.
Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chung Li District, Taoyuan City 320, Taiwan, ROC.
J Biomed Inform. 2018 Apr;80:96-105. doi: 10.1016/j.jbi.2018.03.005. Epub 2018 Mar 13.
Scheduling approaches for conventional surgery operating rooms in a hospital treat surgeons as bottleneck resources directly, but do not deal with stochastic medical resources, leading to an uneven human resource distribution in optimizing medical resource scheduling. Thus, this research focuses on the dynamic configuration scheduling problem for stochastic medical resources. In this paper, the surgical operating room is limited, and the arriving calls (i.e., number of patients) are dynamic. When a patient arrives, the nurse anesthetist and anesthesiologist are limited, but the medical service duration per patient is random. We introduce the drum-buffer-rope (DBR) scheduling approach to analyze which types of medical resources become bottleneck resources for optimizing operating room scheduling. After verifying the effectiveness of the DBR method in uncertain situations, the Monte Carlo simulation is demonstrated.
医院常规手术手术室的调度方法直接将外科医生视为瓶颈资源，但不处理随机医疗资源，导致在优化医疗资源调度时人力资源分配不均。因此，本研究专注于随机医疗资源的动态配置调度问题。在本文中，手术室数量有限，到达的呼叫（即患者数量）是动态的。当患者到达时，护士麻醉师和麻醉师数量有限，但每位患者的医疗服务时间是随机的。我们引入鼓-缓冲-绳（DBR）调度方法来分析哪种类型的医疗资源成为优化手术室调度的瓶颈资源。在验证 DBR 方法在不确定情况下的有效性之后，展示了蒙特卡罗模拟。
