Savsar and Al-Jawini (1995) studied the just-in-time production system using a simulation technique. The simulated model analyzed the system with different levels of various factors, such as processing time, Kanban size, customer demand, the length of the production line, and operation policy.
The objective was to study the effects of these factors on operation performances, such as throughput
rate, WIP, and station utilization.
The result showed that processing time and customer demand significantly affects throughput rate and station utilization.
Moreover, by using different Kanban policies, the system also yields different throughput rates, WIP, and station utilization.
The simulated model was also used to compare a push and pull system under the same conditions.
However, a pull system always outperforms push a system regarding the WIP level. Andrew (2008) used simulation to study the bottleneck point in a production line.
ARENA12 software was employed to simulate an intermittent production system in order to find the appropriate WIP level and optimal production design and to reduce the problem at the bottleneck process.