Statistical Quality Control

Learning Outcomes

On successful completion of this Course, students will be able to: Understand quality system problem; Interpret quality data problem to statistical quality terminology; Analyze suitable statistical tools for the problem; Use statistical quality information

Topics

1. Introduction: The Meaning of Quality
2. The DMAIC Problem Solving Process
3. Important Discrete Distribution
4. Important Continuous Distribution
5. Basic Methods of Statistical Process Control and Capability Analysis
6. Variables Control Charts
7. Attributes Control Charts
8. Process Capability Analysis
9. Gauge and Measurement System Capability Studies
10. Setting Specification Limits on Discrete Component
11. Estimating The Nature Tolerance Limits of A Process
12. The Cumulative Sum Control Chart
13. The Exponentially Weighted Moving Average Control Chart (EWMA)
14. Statistical Process Control for Short Production Runs
15. Modified and Acceptance Control Charts
16. Control Charts for Multiple-Stream Processes
17. SPC with Auto Correlated Processes Data
18. Lot by Lot Acceptance Sampling
19. Single-Sampling Plans for Attributes
20. Double, Multiple, and Sequential Sampling
21. Military Standard 105E (ANSI/ASQC Z1.4, ISO 2859) and The Dodge-Romig Sampling Plans