IENG 4200 Quality Engineering
This course covers the critical skills required to implement effective product and process control, including acceptance sampling, control charts, the DMAIC (Define, Measure, Analyze, Improve, and Control) process, and process and measurement system capability analysis. Coverage includes the quantitative tools and techniques that drive continuous improvement including ways to summarize data, draw statistical conclusions, analyze distributions, test hypotheses, and design and execute experiments with a focus on process optimization.
Prerequisites
4 Undergraduate credits
Effective May 6, 2028 to present
Learning outcomes
General
- Assess the five steps of the DMAIC (Define, Measure, Analyze, Improve, and Control) process.
- Apply Statistical Process Control (SPC) visualization techniques.
- Compare the performance advantage of Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) control charts relative to Shewhart control charts.
- Demonstrate how designed experiments improve product design and process performance.
- Compare different attributes and variables sampling plans.
- Design a variables sampling plan with a specified operating characteristic (OC).