EGR 305 Statistical Design and Process Control

Summer Semester

This course involves the use of statistical methods for improving the design of products and processes, for determining the capability of processes to meet product design requirements, and for controlling processes to assure product quality. Topics include: random variation, induction and deduction; probability and statistics related to sampling distributions; hypothesis testing; one-, two-, and three-way analysis of variance; full and fractional factorial design of experiments; Taguchi designs; response surfaces; evolutionary operations (EVOP); statistical process control; and process capability analysis. Lectures are supplemented with statistical experiments and team activities that are related to statistical design.

3 credit hours