Three big issues with Big Data in manufacturing
There is no shortage of data in modern manufacturing companies. The problem is that much of this data is stuck in special purpose silos.
There is no shortage of data in modern manufacturing companies. The problem is that much of this data is stuck in special purpose silos.
Real-time SPC software systems can drive huge returns for a manufacturing company, and a few good questions can help you build the case for executive leadership. "Begin with the end in mind" so you can chart a course for a successful system deployment.
The quality journey has three developmental stages: Guard, Guide, and Gain. The further you go on the journey, the larger the payback. GainSeeker Suite is uniquely able to support your journey across all three stages of the quality journey.
In Stage 3: Gain, we drill into data using GainSeeker Suite SPC software to proactively find opportunities to improve business processes.
GainSeeker Suite's drill-down capabilities helped an Aerospace manufacturer increase first time quality by 40% and reduce scrap by $300K. And, that's just what happened in a five-month period.
You'll never find a kid who, when he grows up, wants to become a data jockey. Fireman, yes. Data jockey, no.
Many organizations look for a two-year payback. A GainSeeker customer achieved his in an eighth of that time. Now, seven months into the project, he had documented an ROI of 171%.
Since writing the series of posts about calculating OEE, I've [...]
In my last post I described an interesting conversation with [...]
"As we talked it became clear that material costs were going through the roof, and the company needed to find ways to control and reduce those costs. .. Eventually we went back to the QM's office and her computer where we spent about 10 minutes digging into the data that they were already collecting. We used GainSeeker's Analysis Wizard to find underlying causes. What I found surprised all three of us. . . . "