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Operating Theater Scheduling under Uncertainty with Machine Learning-Based Optimization Approach

Rasouli, Mohammad Reza | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57077 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Varmazyar, Mohsen
  7. Abstract:
  8. Surgery theaters are one of the most important and expensive departments in hospitals. Since the operating theaters are connected with other departments, improving the efficiency in the operating theaters can affect other departments as well, so effective and efficient planning and scheduling of the operating theater It is necessary. In this research, we study and investigate the problem of planning and scheduling surgery theaters under the uncertainty of surgery duration, considering the open scheduling strategy and having the list of patients and limited resources after surgery. Let's say that the parameter of the duration of surgery is uncertain and we have little data about it. Some researches use classic robust optimization approaches to solve the problem of planning and scheduling surgery rooms, while the excessive conservatism of these approaches leads to the creation of solutions The quality is low. Therefore, in this research to solve the problem, we propose a robust data-driven optimization model for scheduling selected patients. This model seeks to solve the problem in an optimal way with the aim of maximizing the efficiency and effectiveness of the operating rooms. In the robust data-driven optimization model for the scheduling of selected patients, we assume that we have historical data for the duration of each patient's surgery, and then in the first step, we use the clustering of these data. and the development of a robust counterpart based on data for the planning and scheduling problem of surgery rooms, we show that this model is 20% better than other classic robust optimization approaches in terms of the quality of the solution provided
  9. Keywords:
  10. Robust Optimization ; Fuzzy Clustering ; Operating Room Scheduling ; Data-Driven Robust Optimization ; Data Driven Uncertainty Set ; Surger Rooms ; Surgery Theater Scheduling

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