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DAY 1
Overview- Taguchi approach
New disciplines
Definition of Quality
Loss Function
Attractiveness of Taguchi Approach
Review basic concepts in experimental design
- Types of factors and levels
- Common experiment designs
- Orthogonal array vs. one-factor-at-a-time experiments
Practice Problem
Project objective Evaluation Criteria
Need for combining multiple evaluation criteria into a single index
Experiments designed using orthogonal arrays
- Experiments with all factors at one level
- Experiments mixed level factors
Practice Problem
Experiments to study interaction
- Trade off between factors and interactions
- Test for presence of interactions
- Test for relative influence of interaction
Basic analysis and strategy for experimentation
Practice Problem
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DAY 2
Experiments with mixed level factors
- Upgrading 2-level columns into a 4-level array
- Downgrading (dummy treatment) columns
- 15 different experiments using an L-8 array
Practice Problem Combination Design (special design tool)
Strategy for Robust Designs
- New attitude toward uncontrollable factors
- Outer array for robust design
DAY 3
Analysis of Results
- Main effect study for influence of factors
- ANOVA for relative influence of factors
- Performance at optimum condition
- Confidence level and interval (C.I.)
- Transformation of S/N data
Practice Problem
Brainstorming for experimental design
- TEAM: the new disciplines in workplace
- Order of discussions in planning session
- Participants and facilitation of planning
Computation of cost/ LOSS FUNCTION
Reference and Application assistance
- Project application guidelines
Design and analysis using computer
software
Group reviews and exercise
Computer Software (Qualitek-4)
Class project & presentation by the groups
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