Use model-predictive control to determine setpoints for product quality by modeling the relationships between materials and process conditions vs. product characteristics. Prior fielded applications include controlling up to 60 product properties simultaneously.

Estimate product properties particularly ones with weak theoretical basis such as burst strength, wet tear strength, Tensile Energy Absorption and many others in real-time with our advanced modeling technologies running in our real-time server.

Be aware of product problems and defects before lab results by modeling the differences between good and bad product, or perhaps the probability of web breaks then put the models on-line and real-time trend the probability of defects and be alerted when that probability crosses a threshold.