People Innovation Excellence

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.

Published at : Updated

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