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An Evolutionary Algorithm for Sub-Daily/Sub-Shift Staff Scheduling

In: Operations Research Proceedings 2008

Author

Listed:
  • Volker Nissen

    (Technical University of Ilmenau, Chair of Information Systems in Service)

  • René Birnstiel

    (Technical University of Ilmenau, Chair of Information Systems in Service)

Abstract

Summary Staff scheduling involves the assignment of a qualified employee to the appropriate workstation at the right time while considering various constraints. According to current research employees spend 27 to 36% of their working time unproductively, depending on the branch [10]. Major reasons include a lack of planning and controlling. Most often staff scheduling takes place based on prior experience or with the aid of spreadsheets [1]. Even with popular staff planning software employees are regularly scheduled for one workstation per day. However, in many branches, such as trade and logistics, the one-employee-onestation concept does not correspond to the actual requirements and sacrifices potential resources. Therefore, sub-daily (including sub-shift) planning should be an integral component of demand-oriented staff scheduling.

Suggested Citation

  • Volker Nissen & René Birnstiel, 2009. "An Evolutionary Algorithm for Sub-Daily/Sub-Shift Staff Scheduling," Springer Books, in: Bernhard Fleischmann & Karl-Heinz Borgwardt & Robert Klein & Axel Tuma (ed.), Operations Research Proceedings 2008, chapter 23, pages 141-146, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-00142-0_23
    DOI: 10.1007/978-3-642-00142-0_23
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