Consulting

Empowering Dow Chemical to fill the demand for low-volume, high-urgency orders of custom specialty chemicals using ProSensus’ RPD framework.

An emulsion polymer process was producing off-spec product in 10% of its batches. By implementing advanced batch control, they were able to completely eliminate the bad batches.

ProSensus worked with Mondelez, a global food manufacturer, to establish specifications on new incoming raw material lots to avoid accepting lots that pose a high risk on the final product quality.

Specifications on individual properties are often misleading. ProSensus calculates multivariate specification limits so you can accept/reject and compensate for variations in raw materials. Read about examples in the chemical, pharmaceutical, and food industries.

By implementing ProSensus’ ProBatch Control technology, a leading snack food producer reduced the standard deviation on their product quality 50% and also significantly increased process capacity.

By implementing ProSensus’ ProBatch Control technology, a leading snack food producer reduced the standard deviation on their product quality 50% and also significantly increased process capacity.

ProSensus helped optimize a Fortune 500 pharmaceutical tablet manufacturing line, providing a method to reduce the time needed to respond to changes on the line and improve the final product quality.

A herbicide manufacturer was producing many out-of-specification batches in their batch dryer. Multivariate analysis was used to troubleshoot why unacceptable chemical structural changes were occurring.

Scaling production from lab-scale to full scale can be time consuming, frustrating and costly. An effective alternative is to apply numerical optimization on multivariate models that span both scales.

ProSensus helped integrate state-of-the-art multivariate calculation tools into Johnson & Johnson’s in-house software so that multivariate analysis could become part of their standard data analysis workflow.

Irving Pulp & Paper chose ProSensus to create a soft sensor to stabilize their lime kiln process. Using real-time process measurements and images from a camera in the kiln, ProSensus developed a soft sensor that predicted kiln temperature hours in advance.