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Robust Assigning for the Operating Theatre at the Strategic And the Tactical Level, Regarding Elective and Non-elective Patients

Eshghali, Masoud | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 49409 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Modarres Yazdi, Mohammad
  7. Abstract:
  8. The Operating Room (OR) is one of the most expensive resources of any hospital. Surgical costs typically account for approximately 40% of the total hospital resource costs, while surgeries typically generate around 67% of hospital revenues. Therefore, it is important to control the surgery costs while maintaining a high quality of care. In this study, all the decisions related to the Operating Theatre are being hierarchically considered in strategic, tactical and operational levels. The Operating Theatre consists of operation rooms, a recovery unit, an intensive care unit (ICU), a critical care unit (CCU), and ward units. In this model there exist many uncertainties, which the robust optimization is considered to deal with these. At the strategic level, the objective is to determine the optimal and the robust levels of the Operating Theatre facilities regarding the uncertainty of the different surgery group demands. At the tactical level, by applying robust optimization, we develop a weekly planning and scheduling of elective patients while uncertainty in the duration of staying in the post-operation units is considered. Then, an allocation model is developed for daily scheduling of patients, based on the results of the previous scheduling models. In the same way, at the operational level robust optimization is investigated to model daily scheduling by considering the uncertainty in the surgery durations of each patient and the arrival rate of the non-elective patients. The proposed robust model in the third level is solved by the genetic algorithm, an efficient algorithm, which is developed and successfully used for this NP-hard problem. In this research, we allocate some especial operation room to the non-elective patients, although they also can use other operation rooms that are allocated for elective patients, if needed
  9. Keywords:
  10. Genetic Algorithm ; Robust Optimization ; Uncertainty ; Operating Room Scheduling ; Hierarchical Programming

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