Automated CAD change order processing reduced engineering cycle time by 35% through intelligent impact analysis

PLM Windchill
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1

We implemented automated MCO processing that dramatically reduced our engineering change cycle time. Previously, engineers manually created change orders, identified affected assemblies, and routed approvals - taking 3-5 days per change. Now the system automatically detects CAD changes, performs impact analysis, generates documentation, and routes workflows based on change scope.

The automation triggers when engineers check in modified CAD files. The system compares versions to identify what changed, analyzes assembly structures to determine impact, generates change documentation with before/after comparisons, and routes to appropriate approvers based on affected components and change magnitude.

Key implementation aspects included:

  • CAD change detection using geometry comparison and metadata analysis
  • Impact analysis that traverses assembly structures and identifies downstream effects
  • Automated workflow routing based on configurable rules for change scope
  • Documentation generation that creates change reports with visual comparisons

The results have been significant: 35% reduction in engineering cycle time, 90% decrease in manual MCO creation effort, improved change documentation consistency, and faster identification of downstream impacts.

2

The automated workflow routing based on change scope is particularly interesting. How do you handle situations where impact analysis identifies affected components owned by different engineering groups? Does the system create multiple parallel approval paths or sequential routing through different teams?

3

What technology stack did you use for the geometry comparison? We’re looking at similar automation but concerned about performance when comparing large assemblies. Does your system handle incremental comparison or does it re-analyze entire assemblies on every check-in?

4

This is impressive. How does your CAD change detection differentiate between significant design changes versus minor updates like dimension annotations or metadata corrections? We’ve struggled with automation that creates change orders for trivial modifications that don’t actually affect manufacturing.

5

Documentation generation with visual comparisons sounds valuable. What format does your system use for the change reports? We currently have engineers manually create change documentation with screenshots, which is time-consuming and inconsistent. Automated generation would be a huge improvement if the output quality is good enough for formal change reviews.