MT 216 Statistical Process Control

Lecture Hours: 2
Credits: 2

Introduces the fundamentals of Statistical Process Control (SPC) as applied to modern factory production processes. Reviews basic statistical measurements and how factory decisions are made.

Student Learning Outcomes:

Describe the basics of statistical process control
Demonstrate an understanding of SPC use on the factory floor.
Explain the impact of SPC utilization on the quality of product.

Content Outline

Basic Process Control Concepts
- Define Measure Analyze Improve Control (DMAIC) process
  - How to measure an attribute
    - Qualitative data
    - Quantitative data
- Tools
  - Basic statistical tools
    - Mean value
    - Standard deviation
    - Process capability and yield
    - Control charting basics
      - Control chart types
        
        Variable
        
        Individual
    - Setting limits
    - Interpretation and reaction
  - Software tools
- Continuous improvement
  - Design process
  - Manufacturing ramp
  - Feedback
  - Documentation
    - Engineering changes
    - Process changes
Introduction to Design of Industrial Experiments