Design of Experiment
Objectives
Enhance participants' capability to conduct experiments in their manufacturing environment.
Able to identify which factors influence process responses, and distinguish between critical and non-critical factors.
Gain a clear understanding of how to properly prepare and design scientific experiments.
Participate in an interactive program that combines conceptual understanding with hands-on experience in implementing Design of Experiment (DoE) through process simulations.
Key Contents
- Introduction to Design of Experiment (DoE)
- Trial-and-error vs. One-Factor-At-a-Time (OFAT) vs. DoE approaches
- Preparing an experiment effectively
- 2-level full factorial design
- Optimization design techniques
- Response optimization strategies
- Screening design methodology
- Fractional factorial design
- Understanding aliasing and confounding
- Design resolution and its implications
Who Should Attend
Operations personnel, engineers, R&D teams, and anyone in the organization who is required to have Design of Experiment (DoE) skills and knowledge to conduct scientifically-based experiments.
Upcoming Public Training
