Case Study: Perrigo achieves faster, quality-by-design R&D with JMP

Perrigo reduces product variability and other inefficiencies by growing the use of statistical analysis in experimentation and testing

Perrigo, a global health care and pharmaceutical manufacturer, needed a more cost-effective way to meet stricter quality-by-design regulatory demands without sacrificing product quality. The company turned to JMP to help its scientists use data and statistical analysis more strategically in R&D and experiment design.

Using JMP, Perrigo implemented predictive modeling and design of experiments to pinpoint key factors affecting product variability and define an optimal design space. The result was streamlined development processes that factor in cost earlier, reduce the need for extensive testing, and help teams make better product decisions; as Perrigo’s research fellow noted, JMP enabled them to identify the “sweet zone” they otherwise might not have found.

Perrigo

Rob Lievense

Research Fellow in Global Statistics