• DocumentCode
    806609
  • Title

    Constraint programming for nurse scheduling

  • Author

    Weil, Georges ; Heus, Kamel ; Francois, Patrice ; Poujade, Marc

  • Author_Institution
    Fac. de Med., IMAG, Grenoble, France
  • Volume
    14
  • Issue
    4
  • fYear
    1995
  • Firstpage
    417
  • Lastpage
    422
  • Abstract
    Nurse scheduling is a difficult, multifaceted problem. Here, the authors have presented the efficiency of Constraint Programming for solving this problem. The results obtained are very satisfactory for response time and for flexibility. The advantages of implementing this method are multiple: 1) it saves much time for the head nurse in the generation of schedules (the authors met head nurses for whom the task of scheduling takes a full working day); 2) the proposed system is not a rigid tool for schedule generation, but it is designed to help the decision maker in decisions and negotiations; 3) the proposed system is a flexible tool with respect to individual requests and for overcoming unforeseen absences; 4) it is very easy to manage constraints whether, for example, to define new constraints, activating or deactivating particular constraints, or modifying an already defined constraint. Ilog-Solver is a powerful tool for constraint programming. It provides the user with several types of variables, and the possibility of defining a specific constraint for the problem. The integration of object programming provided by Ilog-Solver allows better representation and saves much memory
  • Keywords
    human resource management; medical administrative data processing; personnel; programming; scheduling; Ilog-Solver; constraint programming; difficult multifaceted problem; head nurse´s time saving; individual requests; nurse scheduling; response time; unforeseen absences; Artificial intelligence; Biomedical imaging; Head; Hospitals; Humans; Interference constraints; Libraries; Medical services; Personnel; Resource management;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.395324
  • Filename
    395324