An Artificial Immune System based approach for solving the Nurse Re-rostering 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: Personnel resources are a variable and dynamic resource that introduce uncertainty in the operational processes. Constructed personnel rosters can be disrupted and render infeasible rosters. Feasibility has to be restored by adapting the original announced nurse rosters. In this paper, we investigate the potential of an artificial immune system to solve the nurse re-rostering problem, which entails a reactive approach to these schedule disruptions. In our computational results, we show that the proposed procedure performs consistently well under many different circumstances. We validate the performance of different problem-specific operators and compare the proposed procedure with the existing literature.

Pages: 2 pages
Date: 2011-11
New Economics Papers: this item is included in nep-cmp
References: Add references at CitEc
Citations:

Downloads: (external link)
http://wps-feb.ugent.be/Papers/wp_11_754.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rug:rugwps:11/754

Access Statistics for this paper

More papers in Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium from Ghent University, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Nathalie Verhaeghe ().