LaFayette Engineering, Inc.
2405 Lebanon Road
Danville, Kentucky 40422
Simulation modeling allows the resources involved in a material handling process – workers, equipment and technology – to be tested and analyzed in a virtual setting.
Simulation modeling is the only method that provides both objective analysis and detailed animated visualization of the process. It is an integral component of conveyor material handling systems.
Simulation modeling is an excellent tool for companies operating or planning to buy conveyor material handling systems, companies who want to implement more lean automation at all levels of operations, and companies who want to validate their preliminary designs before moving forward on a program.
Simulation modeling is an exceptionally efficient and cost-effective way:
- For material handling management to prototype a process
- For plant managers to sell a proposed concept to management
- For those charged with productivity to identify waste, or factors that limit throughput
- For team leaders to make adjustments that allow best possible application of labor resources
- For production personnel to quickly and definitively test-out alternatives for achieving a goal, such as increased production, a change in product mix, conversion from batch to continuous flow, or inventory reduction
- For facility planners to test the effects of a renovation, shift addition – or change in manufacturing sequence
- For training departments to help new hires become productive and confident
Simulation modeling mimics the facility's specific resources, throughput and constraints, and can be done for a particular work cell, department, facility, or larger supply chain. It is well-suited to conveyor material handling systems, and to operations ranging from assembly to finishing to shipping and distribution.
Animating the various production events, and visually accelerating the timeframe, allows simulation modeling to generate a compelling and objective overview that validates good ideas, and makes the deficiencies in others clear and incontrovertible.
Because simulation modeling can archive the various possibilities that are considered, the performance of various scenarios can also be compared using the model output data.
Achieving the best-possible outcomes, and being able to demonstrate that the best outcome was achieved, is a powerful benefit of simulation modeling.