This module is designed for engineers who are learning DOE for the first time. As such, the participants will be carefully introduced to Taguchi's orthogonal arrays as effective methods for conducting designed experiments. For greater awareness, comparisons of Taguchi and Classical DOE will also be discussed. Moreover, software applications is also included to better appreciate the course.
COURSE OBJECTIVES:
At the end of the course, participants are expected to:
- Learn when to select Taguchi's designs over other popular designs;
- Select and conduct appropriate orthogonal array designs;
- Analyze and interpret the results for product/process improvement and design.
TARGET PARTICIPANTS:
Engineering, and quality assurance personnel involved in product/process control, improvement and design; and who have no previous knowledge or formal training of Classical DOE.
PRE-REQUISITE SKILLS:
Classical DOE / Hypothesis Testing
COURSE OUTLINE:
Day 1
- Introduction to Taguchi's Approach of Quality Engineering
- The Design of Experiments Process
Day 1-2
- Orthogonal Array Selection and Utilization
- Review of Factorial Experiments (Full / Fractional)
- Taguchi's Orthogonal Array Designs
- Conducting Tests
Day 3-4
- Analysis and Interpretation Methods (With Comprehensive Review of Hypothesis Testing)
- Confirmation Experiment
- Parameter & Tolerance Design
- Statistical Software Applications / Hands-On (Extensive)
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COURSE DESCRIPTION