SCOPE:
Design of Experiments involves changing inputs of a process or system to observe and analyze outputs. Experimental studies play a vital role in product and process development. DOE was first developed in the 1920s by R.A. Fisher and his team. The Analysis of Variance (ANOVA) technique, used to determine significant differences between group means, was also developed during this period.
The training covers topics such as Basic Statistics, ANOVA, Hypothesis Testing, Full Factorial and Fractional Factorial Designs, and Response Surface Methodology.
The goal of the DOE training is to enable participants to effectively use the design of experiments method—one of Six Sigma's powerful tools—for data relationship analysis, modeling, and optimization.
DOE Training Content
- Basic Statistics
- Hypothesis Testing
- ANOVA
- Data Types
- Purpose of Design of Experiments
- Advantages and Disadvantages of DOE
- Management Fundamentals
- Factor Selection
- Factor Level Definitions
- Interaction Plots
- Taguchi Method
- Applications – Interpretations
- Response Surface and Optimization Studies
PARTICIPANTS
Senior and middle managers, R&D and project engineers, specialists, green belt and black belt candidates
Duration
3 days
Certification: Participants scoring 70 or above out of 100 in the post-training evaluation exam will receive a “Certificate of Achievement.” Those who do not meet the score will receive a “Certificate of Participation.”