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A two-step multi-objective mathematical model for nurse scheduling problem considering nurse preferences and consecutive shifts

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  • Mohammad Mahdi Nasiri
  • Meysam Rahvar

Abstract

The nurse scheduling problem (NSP) has received special attention during the recent decades. The difficulty of generating tables manually alongside the shortage of nurses and prohibition of outsourcing nurses has led to hectic schedules in which assigning three consecutive shifts (i.e., 24 hour shift) to a nurse could be seen. Furthermore, nurses' preferences are usually neglected because the concentration is on meeting the nursing requirements. In this paper, we propose a multi-objective mathematical model in which we tackle the main inefficiency of the system (i.e., three consecutive shifts). We also try to maximise nurses' preferences. In addition to the presentation of a new mathematical model, we use the novel method of augmented epsilon constraint to generate several tables. To deal with the complexity of NSP, we use a two-step approach. We find the efficient solutions over the Pareto set, among which we select the best table.

Suggested Citation

  • Mohammad Mahdi Nasiri & Meysam Rahvar, 2017. "A two-step multi-objective mathematical model for nurse scheduling problem considering nurse preferences and consecutive shifts," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 27(1), pages 83-101.
    • Handle: RePEc:ids:ijsoma:v:27:y:2017:i:1:p:83-101
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    Cited by:

    1. Mohammad Mahdi Nasiri & Farzaneh Shakouhi & Fariborz Jolai, 2019. "A fuzzy robust stochastic mathematical programming approach for multi-objective scheduling of the surgical cases," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 890-910, September.

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