Northrop Grumman
CASE STUDY

Northrop Grumman is an advanced engineering company, committed to delivering winning, cost-effective solutions in the aerospace and defense sectors. IntraStage was tasked with achieving productivity gains, quality improvement, and operational results.

Challenge:

Maintain tight performance tolerances of RF semiconductor design. Very large datasets meant that, in some cases, it took over two days just to aggregate data and forming it to be ready for analysis. Manufacturing and NPI data needed to be aggregated to allow limit tuning and measurement variance.

Solution:

Automation of data capture of IC design and performance data.

Off-the shelf measurement trend analysis, characterization, and histogram analysis.

Open analysis from BlackBelt via analysis tools like JMP, Matlab, Minitab, DIAdem, and Excel.

Benefits:

Proactive visibility into IC lots and wafers.

Deep-dive view of sub-assemblies and IC parts

Reduction in high value resource demand.

Reduction in 10% of engineering time spent aggregating data for analysis.

“The number one thing you are supposed to do is … look at the measurement data as it comes in. Don’t wait until it literally bangs into the limit and stops the production line. You are supposed to look for trends before you get there.”
– Senior Test Engineer

CASE STUDY:
Challenge:

Leonardo needed to identify and minimize manufacturing/repair touch time as well as the ability to investigate yield and performance issues at multiple sites with Secure and Secret deployments.

Disparate Data from Complex Test Systems. Normalize and analyze data from ATML, NI TestStand, LabVIEW TDMS, PDF and various Text, CSV and Excel formats.

“Within two months of implementation of IntraStage, we improved our DPU rate. We generate a lot of test data and the manual effort to collect it, aggregate it, and analyze it through ad-hoc software solutions was very time consuming.”

-Senior Engineer, Captor-E Radar System
CASE STUDY:
Challenge:

Highly complex products with tight safety and reliability metrics. Need to analyze production data to quickly identify issues affecting yield and performance. Data aggregation from AOI,AXI,ICT,FCT, ESS, Failures, Rework and ATP performance test.

Apply Statistical Process Control ( SPC) across a wide number of process variables such as CpK.

“IntraStage core technologies has enabled the visibility needed to achieve a 90% reduction of our yield issues. This helped ultimately reduce our Cost of Goods Sold by £ 500,000 / year via achieving target improvements in Rolled Throughput Yield.”

-Engineering Manager-Engine Controls
Trusted by leading manufacturers