Nurse’s Shift Balancing in Nurse Scheduling Problem

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Published: Apr 28, 2016
DOI: https://doi.org/10.14456/sustj.2016.6
Keywords:
nurse scheduling problem load balancing

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Kanjana Thongsanit
Department of Industrial Engineering and Management, Faculty of Engineering and Industrial Technology, Silpakorn University, Sanamchan Palace, Thailand. Corresponding author's e-mail: [email protected]
Kanokwan Kantangkul
Department of Industrial Engineering and Management, Faculty of Engineering and Industrial Technology, Silpakorn University, Sanamchan Palace, Thailand.
Thonphakkhaon Nithimethirot
Department of Industrial Engineering and Management, Faculty of Engineering and Industrial Technology, Silpakorn University, Sanamchan Palace, Thailand.

Abstract

In this study, a load balanced nurse-scheduling model is developed. A case problem of a local hospital in Ratchaburi province is used to test the model in order to improve the existing manual method. There are three working shifts, morning shift, afternoon shift and night shift in the hospital. The load balance is one of factors that affects the nurse’s preferences. The objective of the study is to balance the load of each shift for all workers. The min-max objective is applied to minimize the maximum deviation of the average load of each shift. Goal constraints is applied to determine the plus and minus deviation from the average load of each shift. The proposed model is solved by the Premium Solver on Microsoft Excel. It was found that the balanced load is improved. 

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How to Cite
Thongsanit, K., Kantangkul, K., & Nithimethirot, T. (2016). Nurse’s Shift Balancing in Nurse Scheduling Problem. Science, Engineering and Health Studies, 10(1), 43–48. https://doi.org/10.14456/sustj.2016.6
Issue
Volume 10, Number 1 (January - April), 2016
Section
Research Articles

References

Azaiez, M. N. and Al Sherif, S. S. (2005). A 0-1 goal programming model for nurse scheduling. Computer & Operations Research, 32: 491-507.

Berrada, I., Ferland, J.A., and Michelon, P. A. (1996). Multi-objective approach to nurse scheduling with both hard and soft constraints. Socio-Economic Planning Sciences, 30: 183 – 193.

M’Hallah, R. and Alkhabbaz, A. (2013). scheduling of nurses: A case study of a Kuwaiti health care unit. Operation Research for Health Care, 2: 1-19.

Ragsdale, C. T. (2004). Spreadsheet modeling and decision analysis: A practical introduction to management science, 4th ed., Ohio: Thomson Southwestern.

Rosenbloom, E.S. and Goertzen, N. F. (1987). Cyclic nurse scheduling. European Journal of Operational Research, 31: 19-23.

Taha, H. A. (2003). Operations research: An introduction. New Jersey: Prentice Hall.

Umarusman, N. (2013). Min-Max Goal programming Approach for solving multi-objective De Novo Programming problem. International Journal of Operations Research, 10: 92-99.

Wattanamano, R., Thongsanit, K., and Hongsuwan, P. (2011). The development of mathematical model for a university course timetabling problem. Silpakorn University Science and Technology Journal, 5(2): 46-52.

Wright, P. D., and Mahar, S. (2013). Centralized nurse scheduling to simultaneously improve schedule cost and nurse satisfaction. Omega, 41: 1042-1052.