Introduction to Design of Experiments 2017

Topics

• The basics of hypothesis testing. These fundamentals carry over into SPC and acceptance sampling as well as DOE
• The competitive and economic implications of effective DOE
• The meaning of factors, levels, and interactions
• How to interpret the results of an experiment in terms of its significance level, the quantifiable "reasonable doubt" of concluding wrongly that the experimental treatment differs from the control
• The basics of how to exclude extraneous variation sources from an experiment to ensure that observed differences come from the factors under study

Who should Attend

• Quality managers
• Manufacturing
• Decision makers
• Technicians