Tips and Techniques for Statistics and Quality Improvement

Blog posts and articles about using Minitab software in quality improvement projects, research, and more.

Greg Kinsey, Vice President at Hitachi, is the Keynote speaker at the new Minitab Insights Europe Conferences this year. The conference brings together data-driven leaders from across European manufacturing to explore the new strategies, methods and tools for innovation and performance. Learn why you need to hear Greg’s view on the Future of Operational Excellence – and how you can be part of it.

Continue Reading...

To celebrate Minitab’s support of the recent International Conference on Teaching Statistics in Kyoto, Japan, we sat down with Dr Rozzeta Dolah, whose career and work in statistics and engineering has taken her to her native Malaysia, to Japan and then the USA where she is currently working as a Post-Doctoral Fellow at MIT in Cambridge, Massachusetts.

Continue Reading...

As a Technical Leader and Manager in Ford Motor Company’s Global Data Insights and Analytics organization, Bob Thomas is responsible for supporting data-driven analytic solution development that produces business, product and manufacturing insights.

Continue Reading...

Machine learning as a tool in your analytical toolkit can help accelerate the discovery of insights in data that can create a more efficient manufacturing process and drive innovation. 

Continue Reading...

Adam Russell is a Global Operations Master Black Belt, Tate & Lyle.

Tate & Lyle deploys Continuous Improvement (CI) tools, including Minitab and Salford Predictive Modeler (SPM), to address challenging engineering and manufacturing problems. Our company operates large-scale, continuous flow processes serving the Food & Beverage industry.

Continue Reading...

You might be thinking, six weeks and you’re still not telling us what happened? When you are solving a manufacturing or development problem you might hear the same thing from your leadership – when will we get the results?

Continue Reading...

In our continuing effort to use experimental design to understand how to drive the golf ball the farthest off the tee, we have decided each golfer will perform half the possible combinations of high and low settings for each factor. But how many times should each golfer replicate their runs to produce a complete data set?

 

Continue Reading...

As we broke for lunch, two participants in the training class began to discuss, debate, and finally fight over a fundamental task in golf —how to drive the ball the farthest off the tee. Both were avid golfers and had spent a great deal of time and money on professional instruction and equipment, so the argument continued through the lunch hour, with neither arguer stopping to eat. Several other class participants...

Continue Reading...

The role of quality professionals is more critical today than it ever has been. Quality is a top driver at any company, regardless of size or industry. It’s a major factor when it comes to production numbers, profits and more. However, maintaining and improving quality is no easy task.

Continue Reading...

How do you commit to realistic forecasts and timelines when resources are limited or gathering real data is too expensive or impractical? Can simulated data be trusted for accurate predictions? That’s when Monte Carlo Simulation comes in.  

Continue Reading...