1) Pareto analysis:

  1. Meaning of Pareto analysis
  2. Usefulness of Pareto analysis
  3. Graphical representation of Pareto chart.

2) Measurement system analysis MSA studies

  1. Meaning of MSA studies
  2. Purpose of MSA studies
  3. Characterization of MSA studies:
  4. Location (Average measurement value VS Actual value)
  5. Variation (Spread of measurement values precision)
  6. Measurement system analysis procedures
  7. Stability assessment
  8. Bias Assessment
  9. Repeatability and Reproducibility Assessment (Gage R&R method).
  10. Graphical representation of Repeatability Assessment (Gage R&R method)

3) Matrix techniques: meaning of matrix techniques, uses of matrix techniques as a quality tools.

4) Pre-control techniques: meaning of pre-control techniques, uses of pre control techniques as a qualtiy tools.

5) Benchmarking principles

  1. Meaning of benchmarking principles
  2. Why benchmarking?
  3. Types of benchmarking
  4. Hints on how to conduct critical steps in benchmarking process.
  5. Essential steps to successful benchmarking principles in automotive industries.

6) PDCA Cycle

  1. Meaning of PDCA cycle, what is it?
  2. When to use PDCA cycle, How to use it?
  3. Graphical representation of PDCA cycle
  4. PDCA cycle: explanations.

7) Cause and effect diagram

  1. Meaning of Cause and effect diagram
  2. When to use Cause and effect diagram, How to use it?
  3. Graphical representation of Cause and effect diagram.

8) Control Charts

  1. Meaning of control charts
  2. When to use X-bar and R Control charts
  3. How do control chart help to avoid defects
  4. Brief history of control charts
  5. Cause of variation: a. Common causes of variation
  6. Special causes of variation.
  7. Statistical Process Control –SPC- test rules. Graphical representation of the test rules.

Automotive techniques 2