Glen Oaks Community College Customized Training

Core Tools

By goccadministrator
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Core Tools

Description:Target Audience:Prerequisites:Delivery Method:
 

Description

This 24-hour course is designed to cover the major aspects of the Measurement Systems Analysis process as defined in AIAG’s Core Tool Manual and to give the student a thorough working understanding of its concepts.

 

Target Audience

Design and manufacturing engineering personnel, quality and reliability/test engineers, program managers, and anyone else who needs to understand the concepts of MSA.

 

Prerequisites

None; No prerequisites for this course

 

Delivery Method

Classroom-style lecture with PowerPoint slides and in-class discussion to encourage questions and participation.

 

Course Contents

 

The class will cover each step in the MSA process and the outputs expected from each step. It will emphasize the team approach and commitment of the entire organization.
 

APQP – Advanced Product Quality and Control Plan
  1. The PDCA (Continuous Improvement) Cycle
  2. Team Approach Philosophy
  3. Importance of Management Support
  4. APQP Inputs
  5. The Stages of the APQP Process
  6. Management Reviews
  7. Team Feasibility Commitment
  8. Control Plan Development
MSA – Measurement Systems Analysis
  1. Introduction, Purpose and Terminology
  2. The Measurement Process
  3. The Effects of Measurement System Variability
  4. Measurement Strategy and Planning
  5. Measurement Source Development
  6. Gage Source Selection Process
  7. Measurement Issues
  8. Measurement Uncertainty
  9. Measurement Problem Analysis
  10. General Concepts for Assessing Measurement Systems
  11. Selecting/Developing Test Procedures
  12. Preparation for a Measurement System Study
  13. Analysis of the Results – Acceptability Criteria
  14. Recommended Practices for Simple Measurement Systems
  15. Example Test Procedures
  16. Variable Measurement System Study – Guidelines
  17. Average and Range Method
  18. Attribute Measurement System Study
  19. Practices for Complex or Non-Replicable Measurement Systems
  20. Stability Studies
  21. Variable Studies
  22. Recognize the Effect of Excessive Within – Part Variation
  23. Average and Range Method
  24. Gage Performance Curve
  25. Reducing Variation through Multiple Readings
  26. Pooled Standard Deviation Approach to GRR
SPC – Statistical Process Control
  1. History & Background of SPC
  2. Process Flow Charts
  3. Attribute Charts
  4. Sampling Techniques
  5. Continuing Improvement Strategies
PFMEA – Potential Failure Mode and Effects Analysis
  1. FMEA History
  2. Preventative vs. Corrective Action Approach
  3. Team Approach Philosophy
  4. Benefits of FMEA
  5. The Process Flow Chart
  6. Design and Process FMEA Methodologies
  7. Inputs to the FMEA Process
  8. Brainstorming Potential Failure Modes
  9. Defining the Effects
  10. Determining Causes
  11. Developing Controls
  12. Assigning Severity, Occurrence, and Detection Ranks
  13. Prioritizing for Action
  14. The Critical Characteristics Matrix
  15. FMEA Follow-up
PPAP – Production Part Approval Process
  1. What is PPAP?
  2. When to Use PPAP
  3. Required Documentation
  4. Appearance Approval
  5. Master Sample Requirements
  6. Product Submission Warrant
  7. Submission Levels
  8. PPAP Disposition
  9. Record Retention Requirements

Textbook:

None; presentation notebook will be provided.
 

Man and woman looking at laptop computer together

 

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