Proof of Principle Testing
Explore the performance potential at a fraction of the cost of a complete system.
With its Proof of Principle (PoP) testing program, MWES takes the estimation of an automation system’s effectiveness from simulation to near real world operation. Midwest Engineered Systems offers the ability to experience the performance of an automation system with real parts and production conditions before significant investment in a production automation system is made.
Relying on almost 30 years of innovative and efficient production automation systems development, MWES analyzes your current production process and develops the best automation solution within the project’s design and financial constraints. From there, we produce a physical prototype of the system that takes into account the most important aspects of the potential future automation system. This installation is designed from the start to operate on your production ready parts. Once the system is up and running, it’s tuned to its best performance within the constraints of everyday production floor operation and overall system longevity.
Customers are invited to view the system in operation to get a full understanding of its capability and to make adjustments necessary to fit with current upstream and downstream operations. Otherwise, video of the system can be provided for proof of operation.
At the completion of the PoP, MWES will provide a detailed performance analysis of the process including important considerations and recommendations, as well as the metrics necessary to make an informed decision as to whether pursuing automation for this process is worthwhile at this time.
Investigating whether an automation system is right for your production system can be confusing and nebulous. Partnering with a highly experienced, trustworthy integrator like Midwest Engineered Systems can help navigate the complexity of automation possibilities.
Contact MWES to learn about how we can develop and test potential solutions, not just in simulation but in the real world to reduce uncertainty and more efficiently determine if automation is right for your operations.