id: 05875963
dt: a
an: 05875963
au: Nissen, Volker; Birnstiel, René
ti: An evolutionary algorithm for sub-daily/sub-shift staff scheduling.
so: Fleischmann, Bernhard (ed.) et al., Operations research proceedings 2008.
    Selected papers of the annual international conference of the German
    Operations Research Society (GOR), University of Augsburg, September
    3‒5, 2008. Berlin: Springer (ISBN 978-3-642-00141-3/pbk;
    978-3-642-00142-0/ebook). 141-146 (2009).
py: 2009
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-00142-0_23
ab: 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.
    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. 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-one-station
    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.
rv: