| 摘要: |
| Operation-related resources are lots of manpower and material with the characteristics of high cost and high income in
hospitals, and scheduling optimization is a very important research issue in medical service. In this paper, to cope with
the actualities of operation resources scheduling, such as poor planning, lack of standardized scheduling rules, chaotic use
of the operating rooms, and many human interference factors, we propose a systematic approach to optimize scheduling
problems based on multiple characteristics of operating resources. We first design a framework that includes the composite
dispatching rules (CDR), optimization ideology, and feedback mechanism, in which the CDR integrates flexible operating
time, hold-up time of medical facilities, available time of medical staff, and multiple constraints. The optimization ideology
is carried out through a learning model based on the weighted random forest (WRF) algorithm. The feedback mechanism
enables the approach to realize closed-loop optimizations adaptively. Finally, the superiority of the systematic scheduling
approach (SSA) is analyzed through numerical experiments on a simulation platform. Results of the simulation experiments
show that the proposed scheduling method can improve performances significantly, especially in the waiting time of patients. |
| 关键词: Scheduling · Operation resources · Composite dispatching rules · Feedback mechanism |
| DOI：https://doi.org/10.1007/s11768-021-00051-1 |
|
| 基金项目:This research was supported by the National Key R&D Program of China (No. 2018YFE0105000), the Shanghai Municipal Commission of Science and Technology (No. 19511132100) and the National Natural Science Foundation of China (No. 51475334). |
|
| Support optimal scheduling with weighted random forest for operation resources |
| Li Li,Qingyun Yu,Haoyi Shi,Yuguang Liu |
| (College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China) |
| Abstract: |
| Operation-related resources are lots of manpower and material with the characteristics of high cost and high income in
hospitals, and scheduling optimization is a very important research issue in medical service. In this paper, to cope with
the actualities of operation resources scheduling, such as poor planning, lack of standardized scheduling rules, chaotic use
of the operating rooms, and many human interference factors, we propose a systematic approach to optimize scheduling
problems based on multiple characteristics of operating resources. We first design a framework that includes the composite
dispatching rules (CDR), optimization ideology, and feedback mechanism, in which the CDR integrates flexible operating
time, hold-up time of medical facilities, available time of medical staff, and multiple constraints. The optimization ideology
is carried out through a learning model based on the weighted random forest (WRF) algorithm. The feedback mechanism
enables the approach to realize closed-loop optimizations adaptively. Finally, the superiority of the systematic scheduling
approach (SSA) is analyzed through numerical experiments on a simulation platform. Results of the simulation experiments
show that the proposed scheduling method can improve performances significantly, especially in the waiting time of patients. |
| Key words: Scheduling · Operation resources · Composite dispatching rules · Feedback mechanism |
