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A Goal Programming Approach to Nurse Scheduling with Individual Preference Satisfaction

Author

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  • Pavinee Rerkjirattikal
  • Van-Nam Huynh
  • Sun Olapiriyakul
  • Thepchai Supnithi

Abstract

The use of scheduling optimization tools is essential in creating an efficient nurse shift-rotation schedule. A well-designed nurse scheduling technique can improve nurses’ job satisfaction and their intention to stay. This study develops a goal programming approach to nurse scheduling that simultaneously considers workload fairness and individual preferences on working shift and day off assignments. A case study of an operating room at a hospital in Thailand is used to illustrate the model capabilities for solving an actual nurse scheduling problem. The job satisfaction factors defined based on an interview and questionnaire survey are integrated into the model. When compared against the manual scheduling result, the optimal schedules can be implemented to improve the nurse’s perception of fairness and preference satisfaction. The analysis of fairness and multiple individual preferences based on a case study investigation is the main contribution of this study.

Suggested Citation

  • Pavinee Rerkjirattikal & Van-Nam Huynh & Sun Olapiriyakul & Thepchai Supnithi, 2020. "A Goal Programming Approach to Nurse Scheduling with Individual Preference Satisfaction," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, November.
    • Handle: RePEc:hin:jnlmpe:2379091
    DOI: 10.1155/2020/2379091
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    Citations

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    Cited by:

    1. David D. Cho & Kurt M. Bretthauer & Jan Schoenfelder, 2023. "Patient-to-nurse ratios: Balancing quality, nurse turnover, and cost," Health Care Management Science, Springer, vol. 26(4), pages 807-826, December.
    2. Wu, Zhiying & Xu, Guoning & Chen, Qingxin & Mao, Ning, 2023. "Two stochastic optimization methods for shift design with uncertain demand," Omega, Elsevier, vol. 115(C).

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