Digital Quality Assurance and Inspection Pathway (with Awareness)

Unlock your potential in digital quality assurance and inspection with training designed to prepare you for the implementation of model-based definition methodologies within existing inspection workflows.

Description

CCAT's Quality Assurance and Inspection training pathway includes the following courses over four day:

  • Tuesday - Awareness:
    • Digital Thread Concepts and Value Proposition
    • Next Gen TDPs and MBD Workflows
  • Wednesday:
    • Inspection Plan Authoring Automation for MBD
    • First Article Inspection Automation for MBD
  • Thursday:
    • Introduction to Inspection Workflows for MBD
    • Intermediate Inspection Workflows for MBD
  • Friday:
    • Automated Programming of CMM Inspection
    • Automated Programming of Non-Contact Inspection

Target Audience

CCAT’s Digital Quality & Inspection training path is designed for engineers, inspectors, programmers, managers, and defense suppliers who need to adopt Model-Based Definition (MBD) and digital inspection practices. It supports both hands-on technical skills and strategic workforce readiness, aligning with DoD digital engineering mandates and the broader digital thread ecosystem.

Learning Objectives

  • Learn to generate inspection plans automatically from MBD models (CAD + PMI).
  • Understand how to translate geometric and tolerance information (GD&T) into structured inspection workflows.
  • Leverage model semantics (like QIF) for downstream inspection planning.
  • Understand foundational inspection workflows using MBD—how MBD data propagates through inspection operations.
  • Learn principles of mapping MBD to inspection tasks and quality checkpoints.
  • Master automated creation of CMM programs directly from MBD.
  • Know how to translate part geometry, features, and tolerances into measurement routines with minimal manual intervention.
  • Understand how to automate scanning or vision-based inspection setups from MBD.
  • Learn to configure non-contact measurement hardware leveraging semantic CAD data for automation.

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