Technical Courses: Advanced Courses
Design of Experiments (DOE) Classical
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.
COURSE CONTENT
Introduction
- Why Experiment/Alternatives to Experimentation
- Concept of Variation
- Taguchi Philosophy
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
ANOVA
- Calculations, Tables, and Interpretations
Implementation
- New Parameters
- Controls
- Continuous Improvement
