What is Experimental Design?

• The disadvantages of "one factor at a time" approach
• The uviversal presence of variation

• Establishing experimental objectives
• Choice of response factorial experiments
• Full and fractional factorial experiments
• Use of orthogonal arrav tables to design experimental plan

• The basics of statistical thinking
• Calculation and plotting of main effects and interactions
• Use of effects plot and Daniel plot to identify significance prediction and confirmation leading to process optimisation

• Plan, design, execute and analyse an efficient 2 level fractional experiment
• Make informed decisions as to how to improve a process, based on predictive models
• Understand the benefits of using a structured approach to experimentation
• Understand the distinction between basic experimentation and Taguchi methods