People Innovation Excellence
 

STATISTICAL QUALITY CONTROL (2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Explain the basic concepts of quality improvement; Apply the process and measurement system capability analysis; Demonstrate the methods of statistical quality control; Interpret the results of data analyze using R; Propose the potential showcased business project.

Topics:

  1. Introduction to Quality and Modeling Process Quality;
  2. Inference about Process Quality, Method and Philosophy of SPC;
  3. Customer Insight and Market Analysis;
  4. Control Chart for Variables;
  5. Business Model Environment;
  6. Control Chart for Attributes;
  7. Design Process;
  8. Process and Measurement System Capability Analysis;
  9. Product and Service Development;
  10. Cumulative Sum and Exponentially Weighted Moving Average Control Charts;
  11. Prototyping Product;
  12. Multivariate Process Monitoring and Control;
  13. Evaluation

Published at : Updated

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