Discrete Event Simulation
Optimizing overall production throughput is a complex process, and includes more than just the individual automation cells. Building on our expertise in simulating robot and automation cells, we expanded our practice to include Discrete Event Simulation to model complex processes at the line or plant level.
Discrete Event Simulation models complete lines or plants, with dozens or hundreds of inter-connected processes, identifying hidden bottlenecks to improve throughput.
Technology Description
Discrete Event Simulation, also known as throughput simulation, is the science of modeling an entire system, taking into account, several if not all key events and processes that are expected to occur within the system. It helps predict the performance and behavior of a system over a period of time. The results can be used to fine-tune process and part flow to ensure the highest possible throughput with the least amount of downtime.
Benefits
- Full system modeling and statistical analysis
- Conceptualization of production processes
- Facilities planning and optimization of operations
- Optimized productivity and utilization of equipment
- Lean manufacturing through system optimization practices
- Risk mitigation through virtual validation
- Line balancing and process scheduling
Discrete Event Simulation can be applied at many levels in the manufacturing process. From system costing to line balancing and optimization, Discrete Event Simulation can be used on manual, automated and service systems.
Skill Set
- All major discrete event simulation packages like Delmia Quest, UGS eM-Plant, Witness, and other packages