Evolutionary Bilevel Approach for Integrated Long-Term Staffing and Scheduling

Schulte, Julian; Günther, Maik GND; Nissen, Volker GND

Determining size and structure of a company’s workforce is one of the most challenging tasks in human resource planning, especially when considering a long-term planning horizon with varying demand. In this paper an approach for integrated staffing and scheduling in a strategic long-term context is presented by applying evolutionary bilevel optimization. For demonstration, the example of determining the number of employees in different categories over the period of one year in a midsized call center of a utility is used. In doing so, two contrary objectives were optimized simultaneously: reduce the overall workforce costs and retain a high scheduling quality. The results show that the proposed approach could be used to support corporate decision making related to strategic workforce planning, not only for call centers but for any other kind of workforce planning involving personnel scheduling.


Citation style:
Schulte, Julian and Günther, Maik and Nissen, Volker and MISTA 2017, Kuala Lumpur/Malaysia, Dec. 2017, 2020. Evolutionary Bilevel Approach for Integrated Long-Term Staffing and Scheduling, Ilmenauer Beiträge zur Wirtschaftsinformatik, Ilmenauer Beiträge zur Wirtschaftsinformatik. Technische Universität Ilmenau, Institut für Wirtschaftsinformatik, Ilmenau.
Could not load citation form. Default citation form is displayed.


Use and reproduction:
All rights reserved