CE_29T: Applying Multivariate Modeling to Experimental Datasets for Product Development (Added Fee)

In the era of Industry 4.0 and Digitalization, efficiently gleaning value from data is critical for manufacturers who wish to remain competitive. ProSensus was founded in 2004 by Dr. John F. MacGregor, a renowned statistician and chemical engineering professor, to solve complex problems in industry with advanced analytics. Nearly two decades later, ProSensus continues to apply multivariate analysis to industrial data to for a variety of applications including product formulation initiatives to rapidly develop new products. Manufacturers are continually striving to quickly formulate new or improved products at lower costs, often with fewer or alternative raw materials, all while adhering to existing manufacturing constraints. ProSensus has a proven framework to accelerate product development and provides both software and consulting services for these applications. The ProSensus approach allows manufacturers to simultaneously model, simulate, and optimize the selection of ingredients, formulations ratios and process conditions to reach targeted quality properties. Our approach utilizes existing experimental data, latent variable modeling, and constrained optimization to reach targeted quality properties faster. This CTW will be a combination of lecture slides and a FormuSense software tutorial using a functional polymers dataset. Ahead of the CTW, all registrants will be provided instructions for downloading a 30-day trial of FormuSense and the tutorial dataset. Using their own computer, attendees may choose to perform the tutorial steps alongside ProSensus during the CTW, or they may treat the tutorial as a demonstration.