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A Model to Schedule Hospital Nurses Considering Nurses Preferences

Pourmohsen, Rokhsareh | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48957 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Najafi, Mehdi
  7. Abstract:
  8. The nurse scheduling problem is an inevitable issue in managing of hospital wards. Maintaining high quality of working in hospitals is too difficult in tense and high-pressure work environment. Manually solving the scheduling problem is time-consuming. It can pose problems to considering individual excellence, personnel requests and distributing shifts in a fair and desirable manner. These problems and the impossibility of considering all conditions together made the nurse scheduling as an important scheduling problem. In this research we propose a model to assign nurses to shifts considering regulations and hospital’s policies. Unlike nurse scheduling literature we consider nurses preferences from two directions. The number of night shifts and off days requested by nurses are exerted in our model. The new pattern for sorting the nurses in shifts has been proposed in this research for the first time in nurse scheduling literature. As a result, instead of overlapping work shifts to coordinate between shifts staff we have two groups working consequently in shifts with one hour delay.The number of staff employed per hour and the ability of coordination between shifts in this system have been analyzed. As the problem is NP-hard a two phase heuristic algorithm is developed for large scale sample problems. The algorithm efficiency regarding running time and objective function quality against the exact algorithm is illustrated for some sample problems. The algorithm determine the nurses working days at the first stage and the nurses shifts and groups Will be determined by having fixed days in the second stage. Moreover, sensitivity analysis has been conducted for examining the effect of parameters variation upon objective function. Finally some potential future researches are introduced for developing the model and heuristic solving algorithm.
  9. Keywords:
  10. Optimization ; Integer Programming ; Health Care System ; Nurses Scheduling Problem ; Decomposition Technique

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