Training Course:Production Part Approval Process (PPAP) WorkshopSchool/Trainer:Process Quality Associates Inc.
London, Ontario, Canada
Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced
Course Description:
'' Production part approval is to determine if all the customers’ engineering design records and specification requirements are properly understood by the supplier
Understand all of the situations that normally occur during the part approval process
Learn multiple forms relating to PPAP
Workshop Content
Scope, definition and purpose of PPAP
Learn when submission is required for part approval
Understand the requirements for part approval
Comprehend fully each of the 5 submission levels
Learn the process requirements that Ford, GM, Chrysler have set up
Preliminary process capability studies
Appearance approval requirements
Dimensional evaluation
Material testing
You Need to Attend This Workshop If ......
You are unsure of the most effective way to prepare your PPAP package
Your PPAP’s take too long to put together
You need to get more people familiar with how to prepare PPAP’s
You can’t make heads or tails out of the PPAP process
...''
Please go to the school's official website for training price and schedule:
http://pqa.net/
Phone:(800) 837-7046
School Address:
690 King St. Suite 2
London ON N5W 2X3
Canada
Jobs & Resumes: London
Houses & Roommates: London
Travel Agencies: London
Search other schools for Production Part Approval Process (PPAP) training resources.
Other training courses offered by Process Quality Associates Inc.:
Internal Quality Auditing for ISO 9001:2000
ISO 14001
ISO 9001:2000
ISO 14001 Executive Overview
ISO/TS 16949 Core Tools Overview
Management Measuring System
Measurement System Analysis
Measuring & Making Customer Satisfaction
ISO 14001 Internal Auditor
Problem Solving & Trouble Shooting
Quality Tools & Techniques
Reliability & Maintainability
Root Cause Analysis
Six Sigma Black Belt
Six Sigma Green Belt
Six Sigma Executive Overview
Software Quality Assurance
Statistical Techniques I (Basic)
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