Introduction to quality engineering techniques commonly used for performance
measurement, productivity analysis, productivity improvement techniques, and
identification of best practice. Topics include balanced scorecard, activity-based
costing/management, benchmarking, quality function deployment and data
envelopment analysis (DEA). Significant focus of the course is on the application
of DEA for identification of best practice