A Genetic Algorithm for the Nurse Rerostering Problem

B. Maenhout () and Mario Vanhoucke

Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium from Ghent University, Faculty of Economics and Business Administration

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.

Keywords: Manpower planning; Resource allocation; Hospitals (search for similar items in EconPapers)
Pages: 2 pages
Date: 2009-05
New Economics Papers: this item is included in nep-cmp
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Persistent link: https://EconPapers.repec.org/RePEc:rug:rugwps:09/590

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