Tips and Techniques for Statistics and Quality Improvement

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

It's no secret recent worldwide events have pushed us all to become more agile in our operations and respond to changes in new ways. Medical device manufacturers have come into the spotlight and are especially vital.

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When the effects of COVID-19 caused medical device shortages worldwide, many manufacturers rushed to pivot their production lines to meet demand. Although the United States Food and Drug Administration (FDA) temporarily loosened guidelines for some products like hand sanitizer, there is still a standard approval path medical device manufacturers follow in order to bring their products to market.

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Regression can pretty much do it all! But, most of the time, we like to think of a Regression problem as a best fitted line:

Predicted y = mx + b

The slope is denoted by m, which denotes the average change in y for every 1-unit increase in x. The y-intercept is denoted by b, the average outcome of y when x equals zero. In practical uses, we care more about the impact of x and focus on the slope.

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Good data analysis allows you to make smarter decisions faster. Here at Minitab, we are constantly striving to make it easier for you to analyze data and communicate those results so you can keep your projects moving forward. Case in point: the Variability Chart in Minitab.

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Confidence intervals show the range of values we can be fairly, well, confident, that our true value lies in, and they are very important to any quality practitioner. I could be 95% confident the volume of a can of soup will be 390-410 ml. I could be 99% confident under 2% of the products in my batch are defective.

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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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Process validation is vital to the success of companies that manufacture pharmaceutical drugs, vaccines, test kits and a variety of other biological products for people and animals. According to FDA guidelines, process validation is “the collection and evaluation of data, from the process design state through commercial production, which establishes scientific evidence that a process is capable of consistently...

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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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Dramatic cost savings. Lead time and inventory reductions. Improved transactional processes.

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Suppose that you plan to source a substantial amount of parts or subcomponents from a new supplier. To ensure that their quality level is acceptable to you, you might want to assess the capability levels (Ppk and Cpk indices) of their manufacturing processes and check whether their critical process parameters are fully under control (using control charts). If you are not sure about the efficiency of the supplier...

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