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Michael Mercer accumulated more than 30 years of quality improvement experience at 3M before starting his consulting company. Along the way he developed a deep trust in the power of Minitab Statistical Software. "I’ve tried other statistical software packages, but they aren’t helpful for a typical Six Sigma researcher or process engineer who needs a simple way to get an answer."

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Pierre-André Gouge, teacher and coordinator at the University Institute of Technology in Cachan, France, explains why Minitab is the statistical software of choice for teaching their Manufacturing and Production Management degree course.

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Using Minitab macros to enable real-time data analysis for statistical process control, ResMed designed a highly-visible monitoring and reporting solution that clearly identified improvement opportunities in its manufacturing process—improvements that ultimately led to a better product and a streamlined workflow.

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For 21 consecutive semesters, Darrell W. Donahue has been teaching statistical process control to engineering students at the University of Maine—and trusting Minitab Statistical Software to help him highlight the use of statistics to solve real-world problems.

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In the specialized world of precious metals and advanced materials, superior quality depends on strict control of the production process. An international leader in the industry, Metalor Technologies depends on Minitab for the statistical tools to help deliver the quality their customers demand.

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Unifi Manufacturing relies on Minitab Statistical Software to help optimize and improve its false-twist texturing process for making the synthetic yarns used to manufacture clothing and upholstery products sold around the world.

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