G3 Solutions, Inc.

Experiments are used in manufacturing to design robust products and processes. Designed experiments rely heavily on statistical methods to determine variation within trials and between trials. Variation is the key to determining if two or more trials show significantly different results. This course includes a basic review of statistics and then covers the more common experiment designs. In the manufacturing environment, proficiency at Design of Experiments allows optimal settings of process parameters.

Participants will gain an understanding of statistics as applied to Design of Experiments and will know how to set up and conduct an experiment.

Course Outline:

  • Introduction
    • Why Experiment/Alternatives to Experimentation
    • Concept of Variation
  • Planning
    • Brainstorming/Cause & Effect Diagram
    • Selecting Factors and Levels
  • Design
    • Orthogonal Arrays
    • Linear Graphs
    • Types of Orthogonal Arrays
    • Assigning Factors to the Orthogonal Array
  • Execution
    • Measurement Techniques
    • Organizing Experimental Runs
    • Collecting Samples
  • Analysis
    • Response Tables
    • Calculating Main Effects
    • Interpreting Interaction Effects
    • Calculations, Tables, and Interpretations
  • Implementation
    • New Parameters
    • Controls
    • Continuous Improvement