Modeling

FormuSense builds predictive models using the specified variables and formulations, following the established Multivariate Analysis (MVA) method known as Projection to Latent Structures (PLS). PLS is well-documented by numerous publications, and FormuSense users are encouraged to refer to the following references for more information on PLS:

  1. Muteki, K.; MacGregor, J.F.; Ueda, T. Rapid development of new polymer blends: the optimal selection of materials and blend ratios. Ind. Eng. Chem. Res. 2006, 45, 4653-4660.

  2. Jaeckle, C. M.; MacGregor, J. F. Product design through multivariate statistical analysis of process data. AIChE J. 1998, 44, 1105-1118.

  3. Burnham, A. J.; MacGregor, J. F.; Viveros, R. Frameworks for latent variable regression, J. Chemom. 1996, 10, 31-45.

  4. Muteki, K.; MacGregor, J.F. Sequential design of mixture experiments for the development of new products. Journal of Chemometrics, 2007, 21, 496-505.

  5. Nichols, E. Latent Variable Methods: Case Studies in the Food Industry, Hamilton: McMaster University, 2011.

  6. Wold, S.; Josefson, M.; Gottfries, J.; Linusson, A. The utility of multivariate design in PLS modeling, Journal of Chemometrics, pp. 156-165, 2004.

  7. Corbett, B.1; Cardin, M.1; Wallace, K.1; Schmidt, A.2; Moten, H.3; and Beeson, R.3; 1 ProSensus, Burlington, ON, Canada; 2 Continuous Improvement Center of Excellence, The Dow Chemical Company, Midland, MI; 3 Dow Consumer Solutions, The Dow Chemical Company, Midland, MI. Accelerating Product Innovation at Dow Through Multivariate Modeling. AIChE Spring Meeting, New Orleans, April 2019.

  8. Cardin, M.; Bruwer, M-J.; MacGregor, J. F. Using Multivariate Modeling and Optimization for Rapidly Developing New and Improved Elastomer Products. Fall 188th Technical Meeting of Rubber Division, ACS Cleveland, OH October 13-15, 2015.