Approximation approach for the performance analysis of production lines under a kanban discipline

In a JIT production environ:ment, pull-type control systems are usually implemented to reduce the lead time and to synchronize the production rate with the demand rate. The design of an effective production control system requires easy and reliable approaches for evaluating the effect of the major system parameters on its performance. In this paper we model the kanban control system of a manufacturing line as a Markov process, In addition, we develop an approximation approach to the model that permits reliable evaluation of manufacturing system performance in terms of throughput time and work-in-process. The validation of the approach is implemented by comparing the exact results (based on discrete event simulation) and the approximated results. A good approximation is observed for a large range of conditions.