Data-Driven and Hybrid Approaches to Development of New Products I

In order to remain competitive, manufacturers continually strive to formulate and develop new or improved products, at lower cost, and often with fewer or alternative raw materials. In the era of Industry 4.0, Big Data, and Digitalization, efficiently developing new products requires intelligently capturing intrinsic subject-matter expert knowledge and relevant fundamental relationships and combining this information with value gleaned from experimental data. This holistic/hybrid approach to product development reduces lengthy and expensive physical experimentation, while broadening resource capabilities and knowledge retainment across R&D and Manufacturing. Presentations in this session will highlight how improved experimental planning, data collection, modeling and advanced analytics are being used to accelerate product development across various industries such as chemicals, food and beverages, and pharmaceuticals.