  We consider a fashion discounter distributing its many branches with integral
multiples from a set of available lot-types. For the problem of approximating
the branch and size dependent demand using those lots we propose a tailored
exact column generation approach assisted by fast algorithms for intrinsic
subproblems, which turns out to be very efficient on our real-world instances
as well as on random instances.
