Discrete Event Simulation, also known as Throughput Simulation, involves modeling an entire system. A diverse range of systems can be modeled like production and manufacturing, traffic, fast food drive through, and other events. Driven largely by events that can happen in any process as well as statistic probabilities, the end result is an analysis of the behavior that is expected from a system as designed.
Based on the initial model, alternate scenarios can be programmed to test model behavior and end results. Discrete Event Simulation can be applied at many levels in the manufacturing and non-manufacturing processes. It can be used to model and evaluate manual, automated and service systems.
Some of the benefits are:
– Bottleneck analysis
– Entire system throughput validation
– Pallet and buffer requirements
– Effects of shifts, repair time and downtime on the system
– Equipment and resource utilization and optimization
– Floor space optimization
– Process optimization between model resources
– Lean Manufacturing through system waste elimination