Event Details
24 hours
Instructor-led class training, with opportunities to practice learned skills using prepared data, live demonstrations, and data collected real time in class
Minitab, JMP, or other Statistical Software
This course is designed for engineers, quality professionals, researchers, and managers who need to understand and use DOE for process screening and characterizing.
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Please contact us if you are interested in private training for this workshop.
24 hours
Instructor-led class training, with opportunities to practice learned skills using prepared data, live demonstrations, and data collected real time in class
Minitab, JMP, or other Statistical Software
Design of Experiments is an off-line quality improvement technique that can be employed to dramatically improve industrial products and processes, shorten development time, and provide a structured method for improved decision making. Through its use, it is possible to isolate the cause and effect linkages between product/process variables and the resulting output measures of function, quality, cost, and performance.
This course provides participants with an in-depth understanding of the basic principles of experimental designs for screening and characterizing processes, including planning a DOE, simple comparative experiments, main effects, interactions, and detection of curvature. Experimental design includes one-factor optimization, general full factorials, two level factorials, and fractional factorials.
Actual industrial examples are emphasized along with a unique group learning technique of solving problems incorporating simulated noise allowing the full thinking process to be internalized. By solving these problems within the resource constraints given, participants learn to apply DOE economically, identify factors, set factor levels, define experimental goals, select the appropriate experimental design, and develop analysis skills for interpretation and action planning.
This course is designed for engineers, quality professionals, researchers, and managers who need to understand and use DOE for process screening and characterizing.
Through training, participants will:
How Experimental Design is Useful in Industry and Statistical Fundamentals
Single-Factor Experiments for Comparisons
Factorial Experiments For Characterization
2k-p Fractional Factorials For Screening
Experimental Planning
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Quality Support Group provides world class training in many useful topics. Their trainers, specifically Don and Dave, are very knowledgeable and genuinely there to help you learn and understand. I took their Green Belt training and certification, and highly recommend it. They have excellent training material, software tools, and activities. They are teaching from many years of experience and have so much technical and industry knowledge that makes it easier to relate to, understand, and apply the concepts. From this experience, I will definitely be looking to get more training from them to improve my skills. I highly recommend reaching out to QSG for your training needs and more. My company, Hexagon, has trusted them for years, having them continually train our employees in regulatory standards, problem solving 8D, continuous improvement, etc
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