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Best of Both Worlds
Learn to meet all your specifications with minimal variation. The Robust Design workshop reveals powerful tools for statistical design of experiments (DOE). Go beyond the basics of DOE and advance your Six Sigma skills. You'll push the envelope with saturated fractional factorials. Then learn to regain control of these highly confounded designs. Learn to salvage botched experiments. Finally, zoom up to response surface methods and look for plateaus to achieve high, stable performance.
Statistical Magic Revealed for You
The Robust Design: DOE Tools for Reducing Variability workshop offers you the chance to try out many leading-edge methods:
• Factorial designs for ruggedness of products, processes, or test methods
• Parameter (Taguchi) designs to find control factors that will minimize the impact of noise variables
• Dual response methods that investigate variation as well as the mean level of performance
• Propagation of error (also known as tolerance analysis) to minimize variance transmitted from control factors
You'll use the latest version of Design-Expert ? software in class to inspect case studies and simulations. You will be given a path to all simulation and data files used in class, which are posted to a special Internet site where you can also link to a free fully-functional, but time-limited, copy of Design-Expert software for use after class.
*Prerequisite: Advanced DOE Proficiency
You need not be a statistician, but you should have a working knowledge of factorial design and response surface methods. (If you are working for a company with a six sigma program, you should be at the green-belt level of proficiency in statistics). We recommend you take our Experiment Design Made Easy and Response Surface Methods for Process Optimization workshops as prerequisites.
Robust Design: DOE Tools for Reducing Variability
Course Outline (2 days)
Section 1—Robust Design
• Robust design concepts
• Control vs. uncontrolled factors
• Approaches to robust design Section 2—Factorial Combined Arrays and POE
• Control x control interactions
• Control x uncontrolled interactions
• Intro to propagation of error (POE) Section 3—Dual Response Approach
• Rational for dual response approach
• Printing example Section 4—Response Surface Designs and POE
• Response surface methodology
• Review of CCD and BB designs
• RSM analysis with POE
• Banana chip
• Lathe machined parts
• HDTV problem
• Syngas Section 5—Advanced Propagation of Error Applications
• Transformed POE
• Response transformations
• Transformations and POE
• Multiple Linear Constraints (MLC) and POE
• DOE with categoric factors
• Ideal isomerization "what if's?" Section 6—Appendix and Papers
• Mathematical details: Propagation of error
• "Robust Design—Reducing Transmitted Variation"
• "Comparing Three Approaches to Robust Design"
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MQIP Quality Management Intelligence Tank
Rm.1314, No.27 Shui Yin 2 nd Heng Rd. GuangZhou , China
p: 020-33689262,37597781, f: 020-37597782 |
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