Meaning
Computational method for modeling the operation of a system as a chronological sequence of distinct occurrences. Each change in the state of the model happens at a specific point in time. Discrete event simulation allows engineers to test different factory layouts without moving a single machine.
It applies to any system where entities move between discrete stations.
Model Logic
Rules govern how units interact with resources and where they go after each step. When discrete event simulation is used correctly, it captures the complexity of a real world shop floor. The logic accounts for breakdowns and maintenance schedules.
System Testing
Virtual trials identify the point where the line will fail under high load. A discrete event simulation provides a safer environment for experimentation than a live production run. It reveals how individual changes affect the whole system.
Scenario Analysis
Decisions about capital investment are often based on the results of these models. If discrete event simulation shows that a new machine will not increase throughput, the purchase is cancelled. This prevents the loss of money on ineffective upgrades.
Using a demonstrated rate from existing equipment makes the simulation more accurate than using a supplier forecast alone. This approach ensures the findings are defensible during an audit of the proposed facility.
