Tips and Techniques for Statistics and Quality Improvement

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

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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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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by Dan Wolfe, guest blogger

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Choosing the right type of subgroup in a control chart is crucial. In a rational subgroup, the variability within a subgroup should encompass common causes, random, short-term variability and represent “normal,” “typical,” natural process variations, whereas differences between subgroups are useful to detect drifts in variability over time (due to “special” or “assignable” causes). Variation within subgroup is...

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In Parts 1 and 2 of Gauging Gage we looked at the numbers of parts, operators, and replicates used in a Gage R&R Study and how accurately we could estimate %Contribution based on the choice for each.  In doing so, I hoped to provide you with valuable and interesting information, but mostly I hoped to make you like me.  I mean like me so much that if I told you that you were doing something flat-out wrong and had been...

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You run a capability analysis and your Cpk is bad. Now what?

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In Part 1 of Gauging Gage, I looked at how adequate a sampling of 10 parts is for a Gage R&R Study and providing some advice based on the results.

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"You take 10 parts and have 3 operators measure each 2 times."

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The line plot is an incredibly agile but frequently overlooked tool in the quest to better understand your processes.

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