Presenting a bi-objective random planning model for nursing services

Document Type : Research/ Original/ Regular Article

Authors

1 Industrial Engineering, Islamic Azad University, Bonab Branch, Bonab, Iran

2 , Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin

3 Department of Industrial Engineering, Islamic Azad University, Bonab Branch, Bonab, Iran

Abstract

One of the reasons for the high waiting time for patients in hospitals is the the lack of sufficient staff in the hospital, so the inefficiency of costs and job satisfaction of hospital nursing staff stems from the use of traditional and unscientific methods in allocating nurses to shifts. The present study is designed to determine the minimum number of nurse required according to the number of patients referred at different times, determine the shift schedule with the least required hours and schedule shifts for nurses in each shift with the lowest cost for the emergency department. The research method of the present study is of the mathematical modeling and research community, patients referring to the emergency department and nurses of a medical center. Data analysis is a combination of predictive methods, queuing theory models, and linear numerical programming. To predict the number of patients referring to the emergency, the time series method and ARIMA tools were used, and the M/M/C/K model was used to examine the queue system with limited capacity. One of the most important results of this study is to determine the maximum number of nurses available in each shift. Another result of this study is the comparison of the performance of each of the meta-heuristic Non-dominated Sorting Genetic Algorithm (NSGA-II) and the Bee Algorithm (BA) with respect to the defined indicators.

Keywords

References

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Supply Chain Management
Volume 21, Issue 65
June 2020
Pages 73-88

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History

  • Receive Date: 20 December 2019
  • Revise Date: 05 April 2020
  • Accept Date: 18 April 2020
  • Publish Date: 19 May 2020

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