Experimental design and optimization

The aim with this tutorial is to give a simple and easily understandable introduction to experimental design and optimization. The screening methods described in the paper are factorial and fractional factorial designs. Identification of significant variables are performed by normal distribution plots as well as by confidence intervals. Refinements of the models are also discussed. For optimization, the simplex method, central composite designs and the Doehlert design are discussed. The paper also gives an introduction to mixture designs. The paper contains 14 hands-on examples and if anyone needs the answers on these it is just to contact the authors.