QUALITY ENGINEERING (3 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – Explain quality management concepts such as ISO, TQM, MBQA, Six Sigma, and Quality Cost; LO2 – Differentiate quality tools (e.g. PDCA, Seven Tools, Quality Function Deployment (QFD), control charts, root cause analysis, FMEA, Kanban) in process improvement; LO3 – Use statistical quality control technique and related software for data analysis; LO4 – Propose process improvement utilizing quality tools; LO5 – Apply design of experiment for continuous improvement.

Topics:

1. SPC: Control Chart;
2. Tutorial 3: Statistical Sampling for Quality in Supplies;
3. Tutorial 1: Statistical Quality Control;
4. Statistical Quality Control: SPC2;
5. Statistical Sampling for Quality in Supplies;
6. Statistical Quality Control: SPC1;
7. Introduction to Design of Experiment;
8. Capability Studies: Measurement System Analysis;
9. Tutorial 6: Design of Experiment for Quality;
10. Quality Improvement;
11. Design for Quality;
12. Design of Experiment for Quality;
13. Tutorial 2: SPC: Control Chart;
14. Tutorial 5: Design of Experiment for Quality;
15. Capability Studies: CP, CPK, CPM;
16. Introduction to Quality Engineering;
17. Tutorial 4: Quality Improvement.