Case Study: Siemens Healthineers achieves faster, data-driven manufacturing optimization with JMP

Structure and Sustainability in Manufacturing Help Shape the Future of Healthcare

Siemens Healthineers needed to optimize the manufacturing, testing, and performance of its complex epoc® Blood Analysis System while managing growing data, regulatory demands, and increasingly costly one-variable-at-a-time analysis. The company turned to JMP statistical software to support quality by design, design of experiments, and advanced data analysis across its production and validation processes.

Using JMP, Siemens Healthineers was able to connect and visualize data more efficiently, evaluate multiple quality characteristics at once, and explore machine-learning and multivariate methods to improve product accuracy and process understanding. The result was faster experimentation, fewer test runs, reduced materials and line usage, improved finished-goods yield, and better insights from raw materials through field performance, all with measurable productivity gains from JMP.

Siemens Healthineers

Greg Mattiussi

Senior Director of Manufacturing