ANOVA for Design of Experiments C0714

This seminar is suggested for product or process experts who have a need to utilize more detailed information concerning Design of Experiments analysis. It primarily addresses the subject of ANOVA, analysis of variance, which is a statistically based, objective decision-making tool. This is an advanced seminar that covers the fundamentals required to analyze orthogonal experiments, interpret, and recommend further action based on the analysis. Emphasis is placed on the analysis phase of the DOE process. The seminar covers DOE basic review, simple and complex ANOVA situations, process capability estimation, and a review of available computer software for experimental design and analysis.
Learning Objectives

By attending this seminar, you will be able to:

  • perform ANOVA for DOE analysis
  • interpret ANOVA results
  • estimate process capability from ANOVA information

Who Should Attend

This seminar is designed for product and process design engineers, manufacturing engineers, quality engineers (control, assurance, or supplier), testing and development engineers, and technical managers who are interested in more comprehensive experimental analyses and information. Although, more statistical in nature, this seminar does not require a statistical education or background to comprehend the contents; only fundamental mathematical skills are necessary. This seminar is also very helpful in providing a statistical foundation for those seeking certification in quality engineering.

It is strongly recommended that the registrant attend a Basic Design of Experiments course or have experience with fractional factorial experiments based on orthogonal arrays before attending the ANOVA for Design of Experiments course.

You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.

  • Training Objectives
  • Design of Experiments Process Flowchart
  • Planning and Conducting Phase Review
  • Analyzing and Interpreting Results
    • observation method review
    • column effects method review
    • raw data ANOVA -- one-way; two-way; multi-way with orthogonal arrays
    • variation ANOVA
    • attribute data ANOVA
    • interpreting experimental results
    • plotting
    • prediction of mean and confidence interval
    • confirmation experiment
    • process capability estimates
  • Software Review and Comparison
Phillip J. Ross

Phillip J. Ross is President of Quality Services International, Inc., a consulting firm specializing in quality and statistical training. He has accumulated over 4500 hours of classroom instruction teaching courses in quality, design tools, and manufacturing processes and problem solving in the United States, Great Britain, Holland, Japan, and Singapore. Prior to his consulting business, Mr. Ross worked for General Motors in automotive powertrain design and development and automobile manufacturing and assembly. He first worked with Allison Transmission Division in product design/development and then with Saturn Corporation in the manufacturing and assembly aspects. Mr. Ross was involved in the design phase of many transmission components and systems, developed statistical/quality methods and training, and performed process development. He also performed process development for lost foam casting, painting, molding, and others while at Saturn. Mr. Ross is the author of the book Taguchi Techniques for Quality Engineering which has sold over 35,000 copies worldwide, has had articles published in Quality Progress by ASQC and in Target by AME and is the holder of three patents on product design. Mr. Ross received a B.S. in mechanical engineering from General Motors Institute, and is an ASQ Fellow and Certified Quality Engineer.

Duration: 1 Day
CEUs: .7

Fees: $599.00

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