Design of Experiments – Comprehensive

Courses: Statistics and Experiment Design
  • Course:Design of Experiments – Comprehensive
  • Course ID:DOE2 Duration:2+ days Where: Your Office (7+ Persons)
  • Available as a private, customized course for your group at your offices or ours and in some cases as a WebLive(TM) class.

  • Download Course Description (PDF)

Course Outline

Day 1: Product and Process Optimization

 

  • Introduction
  • The product design process
  • Developing manufacturing processes
  • The history and nature of tolerances
  • Tolerance assignment practices
  • Attributes versus variables data
  • Developing appropriate acceptance tests
  • Reliability testing versus acceptance testing
  • Operating characteristic curves and their application
  • Acceptance testing risk
  • Hypothesis testing
  • Using z-tests and t-tests for hypothesis testing
  • Excel’s features for evaluating the normal curve, the z-test, and the t-test
  • ANOVA history
  • The f-test
  • ANOVA’s mathematical underpinnings
  • Using Excel to accelerate ANOVA
  • Case studies

 

Day 2: Fractional Factorial Experiments

 

  • Brief review of prior material
  • The “scientific method” versus design of experiments
  • Full factorial experiments
  • Fractional factorial experiments
  • Taguchi philosophies
  • Taguchi test approaches
  • Identifying potential test parameters
  • Selecting the appropriate Taguchi matrix
  • Assigning factors to Taguchi columns
  • Assessing potential factor interactions
  • Identifying appropriate factor levels
  • Defining Taguchi test sample configurations
  • Identifying appropriate output parameters for evaluation
  • Minimizing Taguchi test risks
  • Mathematically evaluating Taguchi test results
  • Assessing signal-to-noise significance
  • Follow-on Taguchi tests
  • Using Excel features to accelerate the process
  • Case studies
  • Recap, Q/A, and evaluations

 

(Optional Third-day): Experiment Design Workshop
The participants will work together under the instructor’s guidance to analyze a product or process design issue in your organization.