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A Genetic Algorithm for the Nurse Rerostering Problem

Author

Listed:
  • B. MAENHOUT

    ()

  • M. VANHOUCKE

    ()

Abstract

Due to the importance of reactive scheduling in personnel rostering, we propose an optimization tool for the nurse re-rostering problem. The scheduler must reassign other employees to cover the shift, while continuing to meet current demand and staffing requirements and time-related constraints guaranteeing the roster quality of the single personnel members. In our computational results, we show that the proposed procedure performs consistently well under many different circumstances. We test different optimization strategies and compare our procedure with the existing literature on a new benchmark dataset.

Suggested Citation

  • B. Maenhout & M. Vanhoucke, 2009. "A Genetic Algorithm for the Nurse Rerostering Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/590, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:09/590
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    File URL: http://wps-feb.ugent.be/Papers/wp_09_590.pdf
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    Keywords

    Manpower planning; Resource allocation; Hospitals;

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