We're happy to share the new EXTERNALLY APPROVED Customer Success Story with GE HealthCare.
PLEASE FEEL FREE TO SHARE! Read it here: jmp.com/gehealthcare. The recording is also available on JMP YouTube.
How GE HealthCare is reducing costs with faster, smarter experimentation
GE HealthCare, a leader in high-technology medical devices, leverages JMP to streamline data analysis, accelerate decision-making, reduce manufacturing waste, and lower costs across complex, high-value manufacturing processes.
Key takeaways and Return on investment
- Reduced Scrap and Material Costs
GE HealthCare used JMP to quickly analyze defect data on a high-value component costing approximately $5,000 per unit. With a failure rate near 20%, scrap costs had reached roughly $36,000 per week. Using JMP to identify effective screening paths, the team minimized scrapped parts while working with suppliers to improve part quality over time, resulting in immediate and ongoing cost savings.
- Improved Quality and Yield
In complex manufacturing value streams with many interdependent process steps, JMP makes it easier to uncover defect drivers that might otherwise go unnoticed. Engineers can bring together data from multiple sources, visualize relationships, and identify root causes earlier, leading to improved yields and reduced rework.
- Faster Decisions, Faster Results
JMP enables engineers to rapidly explore large volumes of process data, reducing the need for excessive testing while supporting confident product development decisions. By visualizing patterns and relationships across multiple process steps, teams can move forward more quickly with fewer experiments and lower development costs.
- Operational Efficiency at Scale
As manufacturing systems generate increasingly large volumes of data, JMP helps GE HealthCare efficiently wrangle and analyze that information. The ability to connect and explore data at scale supports faster decision-making, improved operational efficiency, and better business outcomes across the organization.
Because JMP is intuitive and easy to use, engineers can perform advanced analyses without being statisticians. This ease of use reduces analysis time, increases tool adoption, and allows teams to focus more of their time on solving problems that directly impact quality, cost, and delivery.
Quotes from Dale Human, GE HealthCare
“I can start to see if there are patterns between things that I might not have thought of before.”
“We had a defect come up, and we were having about a 20% failure rate. We were scrapping about $36,000 a week. I used JMP to help identify the path we can take to screen components so that we can minimize the parts that we have to throw away because they have a problem.”
“Just from a speed perspective. We can do less testing, still get enough data to make reasonable decisions and move forward.”
“Being able to wrangle all that data is a kind of a new factor.”
“To get engineers to want to use these kinds of tools is make it very easy for them. Not a lot of steps to have to do a fairly detailed analysis.”
