
Classroom (1 Class)
{6A7432F2-747C-4FD5-9735-1C423A225102}
Description
This course develops the participants understanding of MSA & key SPC methodologies through group activities and individual participant.
The key topics will include:
- Understanding the objectives of SPC and its benefits
- Decisions on process adjustment
- Basic statistics for SPC & MSA and the basis of the Central Limit Theorem
- Measures of Central Tendency, Measures of Dispersion and shape of a distribution
- Prediction of percentage out-of-specifications
- Process Control and Process Capability
- Interpreting signals on a control chart
- Control chart planning & selection
- Variables and attributes control charts
- Understanding the elements of measurement system e.g. discrimination, resolution, linearity, bias, stability, sensitivity, precision & accuracy, and number of distinct categories
- Measurement system variations and measurement uncertainty
- Variable gage study (GRR report)
- Interpreting measurement unit analysis
- Understanding variable gage (Long Study)
- Introduction to the concept of attribute measurement system analysis
Objectives
Upon completion, participants will:
- Understand the fundamental concepts of SPC and MSA based on the AIAG SPC and MSA Reference Manuals
- Be able top apply SPC in processes to identify common and special causes of variation
- Be able to interpret control charts
- Be able to conduct MSA and use the results from gage repeatability and reproducibility for decision making
- Appreciate the complementary relationship between SPC and MSA.

Classroom (1 Class)
{6A7432F2-747C-4FD5-9735-1C423A225102}