Nurse rostering with soft constraints: Evidence from chilean mid-size health care centers

Ricardo Soto, Broderick Crawford, Rodrigo Bertrand, Eric Monfroy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Nurse rostering deals with the shifts arrangements of nursing staff in the daily operation of health care centers. The design of suitable rosters for nurses is known to be particularly complex due to the number of interrelated requirements that must be considered. The literature reports a wide list of works devoted to solve such a problem. The techniques used range from classic methods such as linear programming to more modern incomplete methods such as evolutionary computing. However, most works are centered on the performance of techniques for solving well-known instances of nurse rostering. In this paper, we focus on a real case study of nurse rostering. The solution is devoted to a set of mid-size Chilean hospitals that use a very uncommon shift pattern due to proper country legal regulations. We present a new model involving hard and soft constraints that can be applied generically to any chilean health care center.

Original languageEnglish
Title of host publicationICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems
Pages430-435
Number of pages6
StatePublished - 2013
Event15th International Conference on Enterprise Information Systems, ICEIS 2013 - Angers, France
Duration: 4 Jul 20137 Jul 2013

Publication series

NameICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems
Volume1

Conference

Conference15th International Conference on Enterprise Information Systems, ICEIS 2013
Country/TerritoryFrance
CityAngers
Period4/07/137/07/13

Keywords

  • Constraint programming
  • Heuristic search
  • Rostering

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