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A framework for nurse scheduling problems based on prevention of bad-relationships

Author

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  • Mehboob Ali Kanhio
  • Zain-Ul-Abdin Khuhro
  • Farhat Naureen Memon
  • Muhammad Saleem Chandio

Abstract

The scheduling problem is one of the most studied and well-known problems in mathematics. The scheduling problem is used to allocate resources in the most efficient way. In any hospital, scheduling the nurses' timetable has a big impact on their performance. Nurse scheduling is a complex problem that requires careful consideration of various factors, including skill heterogeneity, unfavourable relationship factors, and expenses. This research proposes a framework for nurse scheduling that uses integer linear programming (ILP) to minimise unfavourable relationship factors and reduce expenses. The framework is validated using a few well-known benchmark scenarios, and the results show that the proposed model performs as expected and will be helpful for management.

Suggested Citation

  • Mehboob Ali Kanhio & Zain-Ul-Abdin Khuhro & Farhat Naureen Memon & Muhammad Saleem Chandio, 2026. "A framework for nurse scheduling problems based on prevention of bad-relationships," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 55(4), pages 557-574.
    • Handle: RePEc:ids:ijores:v:55:y:2026:i:4:p:557-574
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