Accelerating Change Propagation Across a Product Family
An industrial equipment maker changes a shared interface dimension and must propagate that change across forty derivative designs built on it.
Run on Shilpa · Engineering & Design Automation
The challenge
Finding every derivative affected by a shared change is manual and frequently incomplete.
Each propagation is modelled by hand, so the same change is implemented forty slightly different ways.
Missed derivatives surface later as fit problems in the field.
How Shilpa solves it
Dependency Discovery
The design graph is traversed to find every derivative that inherits the changed interface.
Impact Classification
Derivatives are classified by whether the change is dimensional, functional, or both.
Guided Propagation
The change is applied consistently across derivatives inside the CAD system, with each application reviewable.
Interface Verification
Post-change fit and clearance are validated across the family before release.
Change Record
What changed, where it propagated, and who approved each application is recorded.
The outcome
Complete discovery of affected derivatives rather than best-effort search.
One change implemented consistently across the family.
Fit problems caught before release instead of in the field.
Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.
Capabilities used
Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.
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