ABSTRACT

This chapter presents how factorial experiments can be used for quality and process improvement. This additional tool can be used to reducing variability, reducing experimental cost, and optimizing manufacturing processes. Topics covered in this chapter include the construction of factorial designs, the use of Pareto charts as a tool for estimating the effects of factors, the analysis of factor effects using ANOVA as well as the use of linear response surface methodology for optimizing the key quality characteristics of the process. The chapter is designed for process engineers and practitioners who need more specialized tools for improving manufacturing processes.