Ogulata S Noyan, Koyuncu Melik, Karaskas Esra
Department of Industrial Engineering, Faculty of Engineering and Architecture, Cukurova University, Adana 01130, Turkey.
J Med Syst. 2008 Jun;32(3):221-8. doi: 10.1007/s10916-007-9126-4.
High demand but limited staffs within some services of a hospital require a proper scheduling of staff and patients. In this study, a hierarchical mathematical model is proposed to generate weekly staff scheduling. Due to computational difficulty of this scheduling problem, the entire model is broken down into manageable three hierarchical stages: (1) selection of patients, (2) assignment of patients to the staff, (3) scheduling of patients throughout a day. The developed models were tested on the data collected in College of Medicine Research Hospital at Cukurova University using GAMS and MPL optimization packages. From the results of the case study, the presented hierarchical model provided a schedule that ensures to maximize the number of selected patients, to balance the workload of physiotherapist, and to minimize waiting time of patients in their treatment day.
医院某些科室需求高但人员有限，这就需要对医护人员和患者进行合理排班。在本研究中，提出了一种分层数学模型来生成每周的人员排班表。由于该排班问题的计算难度较大，整个模型被分解为三个易于管理的分层阶段：(1) 患者选择；(2) 患者分配给医护人员；(3) 患者全天的日程安排。使用GAMS和MPL优化软件包，在库库罗瓦大学医学院研究医院收集的数据上对所开发的模型进行了测试。从案例研究结果来看，所提出的分层模型提供了一种排班表，可确保最大化所选患者数量、平衡物理治疗师的工作量并最小化患者在治疗日的等待时间。
