• DocumentCode
    720416
  • Title

    Nurse scheduling using binary fuzzy goal programming

  • Author

    Cetin, Ece ; Sarucan, Ahmet

  • Author_Institution
    Dept. of Ind. Eng., Selcuk Univ., Konya, Turkey
  • fYear
    2015
  • fDate
    27-29 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Nurse scheduling problem (NSP) is a complex optimization problem of determining schedule for nurses by considering some constraints such as legal regulations, nurses´ preferences, hospital policies and requirements. It is a difficult and time consuming task to deal with large problems with many constraints. In addition to this, in real world application, a person who prepared this schedule (e.g. head nurse), may be unable to state exact aspiration levels to the goals cause of system´s uncertainties. So in this study, a multi objective integer programming model for NSP is proposed and then based on this model, Chang´ binary fuzzy goal programming approach [1] is applied our problem. Finally a case study which is applied to a hospital in Konya, Turkey is presented to demonstrate the efficiency of the model.
  • Keywords
    fuzzy set theory; hospitals; integer programming; patient care; scheduling; Konya; NSP; Turkey; binary fuzzy goal programming; complex optimization problem; hospital policies; legal regulations; multiobjective integer programming model; nurse preferences; nurse scheduling problem; Adaptation models; Artificial intelligence; Hospitals; Job shop scheduling; Mathematical model; Programming; Schedules; binary fuzzy goal programming; hospital; nurse scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Simulation, and Applied Optimization (ICMSAO), 2015 6th International Conference on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ICMSAO.2015.7152212
  • Filename
    7152212