Automatic generation of optimised working time models in personnel planning

Authors:
Volker Nissen;Maik Günther
Affiliations:
Technical University of Ilmenau, Chair of Information Systems in Services, Ilmenau, Germany;Technical University of Ilmenau, Chair of Information Systems in Services, Ilmenau, Germany
Venue:
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Year:
2010

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Abstract

Retail is traditionally labour-intensive. Demand-oriented workforce management has great significance due to the amount of competition which enforces a strict cost management while keeping a good service level. Thus, highly flexible working time models are of particular importance. Our project addresses the question how to automatically and simultaneously assign staff to workstations and generate optimised working time models under constraints and on the basis of fluctuating personnel demand. The planning is completed for an entire year in order to assess adapted versions of the evolution strategy and particle swarm optimisation. A commercial constructive method is used as benchmark.