Tips and Techniques for Statistics and Quality Improvement

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

As the vice president of quality for a $1.5 billion-dollar industrial corporation, Hermann Miskelly is responsible for leading its continuous improvement effort. Now in his 10th year of a Lean Six Sigma deployment, he has overseen the execution of more than 4,000 major improvement projects and another 6,000 small improvement projects. Here are three key insights he shared about managing continuous improvement...

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Do you have an insurance policy that will pay out if your car gets damaged? Do you pay the premium because you know your car will be damaged? No, you pay it so that if you do damage your car you will get a payment to cover the damage.

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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.

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If you have a process that isn’t meeting specifications, using the Monte Carlo simulation and optimization tools in Companion by Minitab can help. Here’s how you, as an engineer in the medical device industry, could use Companion to improve a packaging process and help ensure patient safety. You can also check out our webinar recording, Seeing the Unknown: Identifying Risk and Quantifying Probability with Monte Carlo...

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Whatever stage you're at now with your Continuous Improvement initiatives, there was a lot to learn this month at Process Excellence (PEX) Europe Spring 2018, where practitioners and CI leaders met to "share and challenge everything you need to be a business of the future." We picked up three key CI lessons which we want to share with you in order to replicate success.

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Minitab’s R&D department uses modern design principles, including a user-centered design approach – adopting the Neilsen Norman Group’s (NN/g) methods and processes. NN/g is the world’s leader in all things usability. Hoa Loranger, their vice president, summarized their philosophy best: “UX without users Isn't UX.”

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If you collect and analyze real data for a living, the idea of using simulated data for a Monte Carlo simulation sounds a bit odd. How can you improve a real product with simulated data? 

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As we collect more and more observational data from our processes, we may need new tools to provide meaningful insights into this information. You can add modern-day machine learning techniques alongside traditional statistical tools to analyze, improve and control your processes.

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At Minitab, we want our users to focus their time on drawing sensible conclusions from their data that they can use to resolve business problems or take advantage of opportunities. However, with more and more sources of data available, you often spend more time getting ready for analysis and less time interpreting it.

Here are four ideas that demonstrate how Minitab macros deliver “one-click analysis” for the...

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The convergence of the widespread deployment of low-cost sensors, cloud and greater compute power has brought together a multitude of connected devices which can monitor, collect, exchange, analyze and deliver insight like never before. Industry 4.0 (or Industrial Internet of Things) is transforming industries. This is especially true within manufacturing where many organizations are making investments into ‘smart...

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