Statistical process control (SPC) is a valuable tool for manufacturing companies. Learn more about the benefits of SPC in this article.
GainSeeker Suite real-time SPC software can have a profound impact on a business, and even on a whole supply chain. What makes that possible? It seemed to me that we could boil it down to a few really big differences between GainSeeker and most of the rest of the software that is out there for collecting, managing, and analyzing manufacturing quality data. Here is my short list of the top features.
The Gartner Manufacturing Maturity Model is helpful if you and your boss are asking questions like these: What are we trying to achieve? What shapes the direction we’re heading? Are we just executing random projects, or is there a long-range trajectory? And of course, what is the role of real-time data in achieving that strategy? This post reviews recent GainSeeker Case Studies and maps them to stages on the journey to Manufacturing Maturity.
Defect Management is one of the most effective methods for improving manufacturing operations because it is so simple. Everyone understands the idea of defects, and the statistics are simple and intuitive. People understand a Pareto Chart at a glance. But implementing a Defect Management System takes thoughtful planning. Here are a few key ideas we’ve learned over the years.
While I'm naturally inclined to skepticism about the latest buzzword trend, "Systems of Insight" resonates with me. It matches what I see our customers doing with GainSeeker Suite, and the value they're striving to get from working with us. Clearly GainSeeker Suite, as a Manufacturing Intelligence Platform, is aligned with this vision of a System of Insight. Whether we're talking about turning field failures into supply chain leadership, or reducing product giveaway, or knowing where stuff is, or improving manufacturing performance, or any other application of real-time actionable intelligence, the ability to gain insight from data and make better, faster decisions is critical. GainSeeker delivers.
The OEE (Overall Equipment Effectiveness) metric has fallen in and out of favor in manufacturing circles over recent years. Beyond the poles of hype and critique, is it possible to navigate a third, thoughtful path that uses the OEE metric to drive business transformation?
Announcing the release of my new eBook "Tripping Over Data - How too much data and not enough actionable intelligence can torpedo your business."
I’m amazed by the number of organizations that still lack both the infrastructure and the ingrained, organizational core competency of turning knowledge into action. Why aren’t all organizations Excellence Addicts? Why are so many companies still stuck on the left side of the matrix? So the important question is how do we create a culture that has high measurement maturity? This may be one of the most important questions facing manufacturing today because according to Hofman’s report, “Companies with higher levels of measurement maturity have better overall performance.”
Once you've eliminated redundant and irrelevant testing, you can concentrate on breaking down the data silos so you can make better use of the data that matters. I can't tell you how many times I've seen these data silos in action. Data silos hide critical information and make it very difficult to make meaningful performance improvements.
What is lost in a lot of the buzz surrounding the shake up concerning Big Data is the practical advice we need to know to understand how it will directly impact the way we manage quality. This LNS Research paper identifies 5 critical impacts, and how point-solution SPC software such as GainSeeker Suite can help us wade through it.