• DocumentCode
    1481800
  • Title

    An AI-Based Break-Scheduling System for Supervisory Personnel

  • Author

    Beer, Andreas ; Gärtner, Johannes ; Musliu, Nysret ; Schafhauser, Werner ; Slany, Wolfgang

  • Volume
    25
  • Issue
    2
  • fYear
    2010
  • Firstpage
    60
  • Lastpage
    73
  • Abstract
    Designing shift plans represents a difficult but interesting task because they must satisfy various, often conflicting, requirements. In this article, we address a complex real-world break-scheduling problem for supervisory personnel and present a scheduling system that can help professional planners create high-quality shift plans. Supervisory personnel spend most of their workday in front of computer monitors, addressing critical and constantly changing situations. For employees working under such conditions to always maintain high levels of concentration, it´s essential that they take occasional breaks. Usually, the amount of break time, as well as the position and duration of breaks within their work time (shift) are regulated by labor rules that must be satisfied by a feasible shift plan. Moreover, to guarantee effective supervision, a minimum number of employees must be working at any given time.
  • Keywords
    artificial intelligence; human resource management; production engineering computing; production planning; scheduling; AI based break scheduling system; complex real world break scheduling problem; shift plans design; supervisory personnel; Computer displays; Constraint optimization; Cost function; Design optimization; Ergonomics; Humans; Law; Legal factors; Personnel; Processor scheduling; Operating Hours Assistant 3.6; Ximes; artificial intelligence; break-scheduling system; constraint satisfaction; human-centered computing; metaheuristic optimization; minimum-conflicts heuristic; supervisory personnel;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2010.40
  • Filename
    5456413