The determination of the optimal number of kanbans in a Just-In-Time production system

Abstract

Just-In-Time (JIT) production is supported by the kanban inventory control and product scheduling system. It is important for production managers to determine the optimal number of kanbans in order to successfully operate a multi-line, multi-stage kanban production system. All relevant factors and costs must be considered before arriving at the optimal number of kanbans. In this paper, some JIT production factors such as demand, in process inventory, inventory and labor costs, subcontractor's supply capacity, and workload are discussed. And then, a model formulation using mixed integer goal programming is presented. Finally, a numerical example is presented in order to verify our model.