Introduction:

By applying statistical methods and statistically-developed experiments to core manufacturing processes, major corporations have been able to create efficiencies, improve product and realize huge bottom line savings. This two-day workshop explores the power of statistical thinking through Design of Experiments, and provides a solid foundation in the methods of applying experimental design to your own organization's processes and systems.

Program Contents:

• Understanding the need for modern experimental design approaches.
• The purpose of simple quality improvement tools and why we need to do more than just meet specifications.
• Why one-factor-at-a-time is not an optimal strategy.
• How process understanding affects planning experiment design.
• The basics of experimental design including broad application and power of properly designed experiments:
  • Simple comparative experiments.
  • Factorial experiments including 2 level factorial designs.
  • Fractional factorial experiments.
  • Screening experiments.
  • The concept of robustness.
  • The concept of robustness.
  • Proper process documentation techniques.

Program Benefits:

• Understand the role that designed experiments can play in process improvement.
• Be better prepared to plan, collect, and interpret data from experiments designed to provide real-world knowledge for gaining a competitive edge.
• Develop a strong background for pursuing further studies in experimental design.

Who Should Attend:

• Persons having responsibility for improving current processes or products or developing new ones.
• Process or product development engineers or managers, manufacturing engineers and managers, research scientists, engineers, or managers, and technical personnel in quality assurance or engineering.

Program Duration:

Two-day program, 9:00 a.m. to 5:00 p.m.