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A Multi-Objective Model to Plan Hospital Wards Capacity with Uncertainty Demand

Nobahari, Ali | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53320 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Najafi, Mehdi; Rafiee, Majid
  7. Abstract:
  8. Hospital inpatient units are critical resources because of limited space and large construction investment and operating costs. The essential criteria of hospital capacity are the number of hospital beds. Inpatient beds are shared among different types of care units with different arrival rate, length of stays and needs. Hospitals face many challenges and problems in management of inpatient units, especially in advanced societies that have been increasingly faced in demand in medical units and the need for proper use of limited and scarce hospital resources is strongly felt, including existing challenges, lack of balance in the performance of inpatient units. In this project, we investigate the capacity allocation of hospital inpatient units with considering different costs and service level of inpatient units that patients could hospitalize in three acuity level (regular, step down).With realization the importance of hospital inpatient capacity management and planning, in this project, we aimed to investigate the bed allocation problem between hospital inpatient units with mathematical programming model in the way that performance goals, required constraints, decision making preferences and stochastic characteristic of parameters took account into the model. Using the queuing theory models, we estimate the performance criteria such as reject probability of different patients, nurse costs, operational costs and etc. Because of nonlinear form of criteria, we propose linearization approach to transform them to linear form. After that, we use the epsilon constraint approach to solve the multi objective integer linear programming model.In the following, we investigate the configuration problem and wing formation to improve the hospital inpatient unit performance, exclusively in regular inpatient units. We use dynamic programming approach to configure and form wings, and propose the algorithm to solve it. In the configuration problem, taking into account the limitations of the integration of units in the hospital, we take advantage of the pool of inpatient units to improve the performance of the units. Then, we present the proposed problem and model based on the available information from the hospital, implementation and suggestions for improvement
  9. Keywords:
  10. Hospital ; Configuration ; Queuing Theory ; Integer Programming ; Multi-Objective Decision Making ; Capacity Allocation ; Inpatient Units

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