David Fenn, Senior Scientist, PPG
Timothy Marsh, Research Associate, PPG Industries, Inc.
The development of innovative new products can be accelerated using statistically optimized DOE and regression modeling. With the goal of maximizing efficiency and reducing expense, it is often tempting to limit the collected data to key product attributes, such as customer specifications or internal quality metrics. However, increasing the number of available responses by including a wider range of more fundamental measurements in the analysis can often be critical to success.
This talk covers examples from projects at PPG’s Coatings Innovation Center. We highlight the use of JMP from design through analysis to visualization of the results for a fractional factorial and a constrained mixture/process design. Using tools such as column switcher, multivariate plots, pairwise correlation and mixture profiler, we demonstrate how the inclusion of ancillary responses helped to develop a deeper understanding of the systems being studied and pinpoint the causes behind unexpected results.
