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The Anxiety-based Scheduling of Operating Rooms: An Idea to Develop Psyche-based Optimization

Cheramin, Meysam | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48853 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Salmasi, Naser
  7. Abstract:
  8. The traditional point of view on the scheduling of the healthcare systems, which is in common with the scheduling of other service and manufacturing systems, has contributed to inattention to patients’ psychological status and has given rise to many negative effects not only on them, but also on hospitals. However, this perspective has not been modified yet with respect to the features of healthcare systems, in which patients, rather that machines, are the main entities of the system. In this study, to address this draw back, a new concept, psyche-based optimization, as well as a new scheduling problem, anxiety-based scheduling of operating rooms, as the advent of this concept, have been proposed. The problem, which can be stated as (el|pat; date, time, room, other; iso|det|single; other), is minimizing the sum of patients’ preoperative anxieties. To solve the problem optimally, two mixed integer linear programing (MIP) models are proposed. Since the proposed research problem is shown to be strongly NP-hard, a Tabu Search (TS) algorithm and four Particle Swarm Optimization (PSO) algorithms are developed to solve the problem approximately. After it was showed that TS is not suitable to solve the problem, applying an experimental design on random test problems solved by PSO algorithms revealed that, in small sized problems, the PSO within which a Local Search (LS) has been implemented to search the neighborhood of the new best solution of each particle, outperforms than other PSO algorithms. However, in medium and large sized problems, the performances of PSO algorithms do not differ significantly
  9. Keywords:
  10. Parallel Machines ; Tabu Search Algorithm ; Particles Swarm Optimization (PSO) ; Mathematical Modeling ; Optimization ; Operating Room Scheduling ; Preoperative Anxiety

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