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:
- Introduction to Quality and Modeling Process Quality;
- Inference about Process Quality, Method and Philosophy of SPC;
- Customer Insight and Market Analysis;
- Control Chart for Variables;
- Business Model Environment;
- Control Chart for Attributes;
- Design Process;
- Process and Measurement System Capability Analysis;
- Product and Service Development;
- Cumulative Sum and Exponentially Weighted Moving Average Control Charts;
- Prototyping Product;
- Multivariate Process Monitoring and Control;
- Evaluation
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