Tips and Techniques for Statistics and Quality Improvement

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

The skills to understand and work with data — and make educated decisions based on it — are in demand and they are not going away anytime soon. Let's take a look at some new directions we've seen in the workforce over the last few years, as well as how executives are treating upskilling their teams as a top priority.
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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.

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The abbreviation FMEA is short for Failure Modes and Effects Analysis. It's a tool that helps you look very carefully and systematically at exactly how and why things can go wrong, so you can do your best to prevent that from happening.

 

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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.

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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. 

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

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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.

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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.

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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.

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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. 

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