• DocumentCode
    1904118
  • Title

    A Collaborative Approach to Solve a Nurse Scheduling Problem

  • Author

    Cares, J.P. ; Riff, M.C.

  • Author_Institution
    Comput. Sci. Dept., Univ. Tech. Federico Santa Maria, Valparaiso, Chile
  • Volume
    1
  • fYear
    2012
  • fDate
    7-9 Nov. 2012
  • Firstpage
    344
  • Lastpage
    350
  • Abstract
    In this paper we present a collaborative approach designed to solve a real world problem: the Nurse Scheduling Problem (NSP) at a Chilean hospital. Nurses represent the main shared resources in the hospital. In this paper, we attempt to find a fair/balanced schedule for them, considering a set of constraints and each nurse preferences concerning the different shifts. We propose a collaborative framework in order to manage two objectives: To maximize the nurses preferences and to minimize unfairness assignments. We use real-world instances of the problem for testing, the results show that our collaboration technique is a very effective one in terms of the CPU time and the quality of the solution found.
  • Keywords
    groupware; medical administrative data processing; CPU time; NSP; collaborative approach; fair-balanced schedule; nurse scheduling problem; unfairness assignment; Collaboration; Hospitals; Linear programming; Mathematical model; Programming; Schedules; Scheduling; Collaborative solvers; Nurse Scheduling Problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
  • Conference_Location
    Athens
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-0227-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2012.54
  • Filename
    6495066