This 2 day course provides industrial workers with the definitions, models and statistical tools needed for designing efficient and effective experiments.
A working knowledge of “Statistical Design of Experiments” as covered in the class, is one of the most powerful tools a worker can have for designing and or improving industrial products and processes.
What the Course Covers:
This course will show you how to Plan effective and efficient experiments, Design two-level full factorial and fractional designs, Understand how to use response surface designs to find optimal process settings and Become familiar with software DOE tools such as SAS JMP.
Additional topics that are covered include: Benefits of designed experiments, Choosing factors and factor levels, Importance of randomization, Orthogonal coding, Two-level full factorial designs, Analyzing residuals and testing for lack of fit, Screening designs, Fractional factorial designs, Response surface designs, Optimizing process settings, and Use of JMP DOE Platform for designing experiments and analyzing experimental data.
Who Should Attend:
The course is targeted towards industrial workers who can benefit from using effective statistical methods to characterize, model, evaluate, monitor and improve the quality and reliability of products, manufacturing processes and equipment.
Next Schedule Date and Location:
Only offer at clients site
Price: $12,900 USD for up to 14 students