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
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