(131b) Applying Multivariate Modeling and Numerical Optimization to Two Product Development Datasets

Multivariate modeling (PLS) is a proven modeling method that is known to handle the highly correlated variables and missing data challenges often present in product development datasets. Additionally, datasets of various sizes can be effectively modeled and inverted using constrained numerical optimization. In this presentation, both PLS modeling, simulation, and numerical optimization will be applied to two datasets with the goal of developing new or reformulating existing products. These two applications include:

• Development of new LDPE resins with targeted properties
• EPDM Rubber compound adhesion modeling and design of targeted experiments

In both datasets the following will be highlighted with the use of ProSensus’ FormuSense software:

1. The appropriate modeling structure given the data available
2. Modeling results and model limitations due to dataset limitations
3. The design of new experiments or products through simulation or optimization