EET 385 - Robust Design for Manufacturing

Introduces methods for effective product and process design, evaluation and improvement, using design of statistical experiments and utilizing industrial examples. Topics include: process variation and stability, distribution of data, measurements, analysis of variance, full factorial designs, screening designs, fractional-factorial designs, block designs, parameter and tolerance design, robust design analysis, the loss function, response surface experiments and EVOP. A practical approach will be taken and management of industrial experiments and teams will be a focus. A design project is required. Lec 3.

Prerequisites & Notes
Junior or Senior standing in Electrical Engineering Technology or Mechanical Engineering Technology or permission.

Credits: 3