Beyond SPC: The Next Level of Tools
Getting to the root of the matter
Since variation occurs in literally everything, and because it is the root of many problems related to quality, knowing how to control it is key. It is a powerful advantage to have the knowledge of easy-to-use statistical tools to understand variation quantitatively and act to reduce it. This is particularly true in the design stages of a product.
All too often, decisions are made based more on opinion than fact, and our processes remain more of an art than a science. This seminar enables participants with basic math skills become adept with statistical tools and capable of data-based decisions for continuous quality improvement.
Who should attend this seminar?
Managers, supervisors, engineers, and production workers in manufacturing companies. It is particularly well suited for product engineers and designers. This is a eight hour course for a maximum of 24 persons. It includes a certificate of completion and all materials are provided.
On completion of this seminar you will be able to:
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Understand how process variation occurs and how it is predictable. |
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Use statistical methods to acquire data, analyze it and make it meaningful, present it clearly and enable better decisions. |
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Design tests and experiments for successful results. |
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Convert art to science. |
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Improve quality with product and process improvement. |
Topics Covered:
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Applied statistics |
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Nature of variation |
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Measures of central tendency and dispersion |
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Probability distributions |
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Process capability |
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Process capability indices |
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Safety margin |
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Specifications and statistical tolerancing |
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Gage R&R studies |
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Correlation and scatter plots |
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Plotting methods |
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Simplified regression analysis |
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Cause and effect relationships |
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Test planning and design |
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P-D-C-A for conducting tests |
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experimental design |
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Hypothesis testing (tests of significance) |
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t-Test, f-Test, z-Test |
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Tukey's quick test |
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Simple 2 x 2 matrix test |
