IMV: Integrated Manufacturing
Validation
Simulate, visualize and validate all aspects of manufacturing in advance. The IMV supports you with a comprehensive simulation model of your manufacturing.
Today an optimized and efficient manufacturing is a crucial factor to offer competitive products on the market. With the tools and methods of the digital factory these requirements can be secured by digital simulation, visualization and validation before the start of production. Simulation should provide a model to validate dynamic process chains and their resources as close as possible to reality.
Our Solution
With the web-based simulation tool IMV it's possible to validate planning drafts that were created with the IMD in different scenarios without a deeper simulation knowledge.
The applications are strongly focused on group work. As a result, planners can get involved depending on their field into the planning process and they can implement their subtasks. If required, expert assistance is given at any time. The IMV supports planners in the scenario definition and it facilitates an exact benchmarking of planning alternatives and variants.
Complex production figures from the manufacturing and logistics system are made transparent. These include application rates and lead time, capacity and control strategies or even dimensioning of buffers and storage.
With the help of a variable order scheduling the operational strategies can be checked in advance on efficiency. Possible error potential can be detected in an early planning phase and they can be corrected with lower costs. The virtually secured planning results allow to make informed and economic investment decisions.
Your Profit
- Lead time reduction in manufacturing
- Investment costs are reduced by the advanced planning reliability
- In time delivery optimization
- Bottle neck reduction
- Early proof of concept by major manufacturing KPI’s (e.g. yield capacity, production cost, etc.)
- Manufacturing resource capacity utilization improvement (e.g. machines, worker, qualifications, etc.)
- Logistic resource capacity utilization improvement (buffer sizes, stock sizes, etc.)
- Benchmarking of different solutions to support decision on best solution implementation
