Tips and Techniques for Statistics and Quality Improvement

Master Black Belt in Six Sigma for Molex, Deirdre Hynes, spoke at the Minitab Insights event in Dublin, with Rolls Royce and Hitachi. Read how a new transformation program helped Molex to 10x improvements and watch highlights from the event.

Great stories others want to hear. Common challenges we have all faced before (or might even be facing right now). Discovering new tools in Minitab software as shared by peers. Engaging walkthroughs of finding insights in your data, and recommendations on how to act on them. All packed into a few days of learning and fun.

You now often see “Machine Learning” appearing along with “Big Data”, “AI” or “Internet of Things” in the discussion of the digital transformation of business.

Greg Kinsey, Vice President at Hitachi, reveals how creative uses of the DMAIC process with digital transformation are helping factories to unlock the next level of process improvement. Greg is speaking at November's Minitab Insights Europe Conferences event in Dublin. 

Recently we shared the first part of our interview with Dr Rozzeta Dolah – you can read the first part here.

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.

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.

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.

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?

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...