Statistical Process Control (SPC) & Measurement Systems Analysis (MSA) Training Course

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.