Two-Stage Stochastic Programming Model for Nurse Scheduling with Consideration of Work-force Type

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Mirzavand Boroujeni, Niloufar | 2018

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 51152 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Eshghi, Koroush; Sadri, Farzaneh
Abstract:
The Nurse Scheduling Problem (NSP), is one of the most complicated problem in health care management systems. The problem is to determine a work schedule by considering some requirements such as governmental policies, staff and their managers satisfaction, etc. Nowadays, while the demand of treatment centers for nurses has increased especially in hospitals, the population of qualified nurses has decreased. In such a fuzzy situation, the managers of the treatment centers want a better nurse scheduling in order to increase the quality of giving services to their patients and consequently increase their income. In this thesis, a two-stage nurse scheduling problem with uncertainties in patients’demand, critically levels and work-force type is proposed. Then, a case study at the “Renal Transplantation” section of “Imam Khomeini Hospital” is considered and solved by two different methods including Extensive Form and Expected Value. The results show that using Extensive Form approach for solving the suggested model of this thesis can cause the hospital cost to be reduced and the balance of job satisfaction among nurses to be increased
Keywords:
Two Stage Stochastic Programming ; Nurses Scheduling Problem ; Eritically Levels ; Expected Value ; Extensive Form

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