STAT 5650 - Design of Experiments for Quality Improvement

This course covers statistical methods useful for improving the quality of products and systems in an industrial setting. It provides a comprehensive set of tools to use in building better products and in reducing manufacturing and other costs. The focus will be on solving real engineering problems through case studies. Taguchi methods will be discussed along with modifications from standard statistical practice. Topics will include planning an experiment, experimental strategy, Analysis of Variance concepts, factorial designs, orthogonal arrays, loss functions, signal-to-noise ratios, identifying significant factor effects, graphical methods, parameter design and tolerance design.

Prerequisites/Corequisites: Prerequisite: An introductory statistics course such as STAT 2600 or STAT 3640.

Credits: 3 hours

Notes: Open to Upperclass and Graduate Students. Undergraduates with junior or senior standing and 12 or more credit hours of work in mathematics and statistics may enroll in 5000-level courses with prior approval of the department chairperson.