Setting kanban sizes is one of the first decisions that users of kanban system must address, yet
researchers have largely assumed kanban
sizes to be given. This paper investigates the effect of varying kanban size on the performance of
just-in-time (JIT) manufacturing systems. Two types of JIT production systems, the Pull-type and
the Hybrid-type are analysed using computer simulation models. The performance measures considered
simultaneously are the fill rate, in-process inventory, and manufacturing lead time. Parameters
such as demand rate, processing time, and kanban size are taken into consideration, thereby
finding the possible solutions of the kanban size that can be employed to achieve the most
favourable conditions for production. A favourable condition usually refers to the ability of the
system to produce finished goods at a shortest possible lead time, which the customers are always
demanding for. Both the single product and multi- products manufacturing environments are
investigated.
With reference to the analysis, for a single product, as the kanban size increased, the fill rate
decreased, whilst with both the in-process inventory and the manufacturing lead time increased.
Generally, for multi-products manufacture, it was observed that as the kanban size increased, the
fill rate increased with a decrease in the manufacturing lead time. However, for multi-products
the interaction between the manufacturing lead time and the fill rate is discussed in depth in this
paper. © 2001 Elsevier Science B.V. All rights reserved.