5th Werner Kern Award for Productivity Research 2005
Kanban control systems bear a great potential to significantly improve
operations. A company may reap the full benefits of kanban control only
after determining an optimal or near-optimal system configuration. To do
that, methods are needed to evaluate the performance and operating costs
of individual system configurations. We propose an innovative
construction-kit approach that enables us to build stochastic analytical
models of a large class of single- and multi-product kanban systems. The
presented construction-kit approach may be extended and augmented in
various directions.