Automated Shift Design and Break Scheduling

  • Luca Di Gaspero
  • Johannes Gärtner
  • Nysret Musliu
  • Andrea Schaerf
  • Werner Schafhauser
  • Wolfgang Slany
Part of the Studies in Computational Intelligence book series (SCI, volume 505)


Shift design and break scheduling are important employee scheduling problems that arise in many contexts, especially at airports, call centers, and service industries. The aim is to find a minimum number of legal shifts, the number of workers assigned to them, and a suitable number of breaks so that the deviation from predetermined workforce requirements is minimized. Such problems have been extensively investigated in Operations Research and recently have been also tackled with Artificial Intelligence techniques. In this chapter we outline major characteristics of these problems and provide a literature survey over solution techniques to solve them. We then describe in detail two state-of-the-art approaches based on local search techniques. Finally, we discuss our experiences with the application of one of these techniques in a real life case study.


Schedule Problem Local Search Time Slot Tabu Search Memetic Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Luca Di Gaspero
    • 1
  • Johannes Gärtner
    • 2
  • Nysret Musliu
    • 3
  • Andrea Schaerf
    • 1
  • Werner Schafhauser
    • 2
  • Wolfgang Slany
    • 4
  1. 1.DIEGMUniversità degli Studi di UdineUdineItaly
  2. 2.XIMES GmbHWienAustria
  3. 3.DBAITechnische Universität WienWienAustria
  4. 4.ISTTechnische Universität GrazGrazAustria

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