Lotsizing problems are found in every company which produces various items on resources with
scarce capacities. In general the objective is to find production plans which meet demand
with the resources` given capacities and at minimal costs. However there is a great variety of
company-specific lotsizing problems due to the complexity of the underlying production
processes. Both standard MRP-systems and modern Advanced Planning Systems fail to provide
adequate solutions. Instead they most often compute production plans which are not feasible
in practice. In this book new lotsizing models are presented for multi-stage production systems
with general product structures dynamic demand setup times and lead times. They are extended
to cover production on parallel machines. An iterative solution procedure is presented which
generates feasible production plans within seconds of computation time. Potential readership
includes scholars of supply chain management and production planning interested students in
these areas as well as practitioners involved in production planning.
