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

Volker Nissen () and René Birnstiel ()
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Volker Nissen: Technical University of Ilmenau, Chair of Information Systems in Service
René Birnstiel: Technical University of Ilmenau, Chair of Information Systems in Service

Chapter 23 in Operations Research Proceedings 2008, 2009, pp 141-146 from Springer

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.

Keywords: Particle Swarm Optimization; Local Search; Evolutionary Algorithm; Error Point; Timetabling Problem (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-3-642-00142-0_23

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