At the end of the course, the students will

1.1. demonstrate basic understanding of total quality and its management approaches, evolution of quality management over time.

1.2. demonstrate basic understanding of quality planning and control activities in the life cycle of a product or a service.

2.1. understand differences among six sigma, lean six sigma, design for six sigma and other quality planning and control approaches.

2.2. choose the most appropriate tool/methods for statistical process control, process capability analysis, gauge capability analysis and lot sentencing, and justify the use of them.

3.1. develop an effective product or service plan that use voice of customer and deploys it to quality characteristics and describe how quality can be controlled at product development stages.

3.2. design statistical experiments for improving product/process designs.

3.3. collect data for quality control activities such as process monitoring, process capability diagnosis, gauge capability diagnosis, lot sentencing and product/process design.

3.4. analyze data collected for stability, capability, mean, variability, robustness, make quality improvement decision based on the results, and verify the results.

3.5. make effective use of statistical software such as MS Excel and Minitab to support analysis of quality data and quality planning and control decisions.