Digital engineering from definition to evidence.

PLM controls engineering objects, deliverables, workflows and configuration. CAE helps anticipate behavior before hardware and guide validation toward the real risks.

DIGITAL ENGINEERINGTOOLS

PLMObjects • workflows • configuration

CAESimulation • risk • validation

APQPGates • evidence • maturity

PPAPRecords • approvals • traceability

PLMDigital product definition

CAEPredict before hardware

APQPGate maturity

DATATraceable evidence

PLM TRAINING

Learn the logic behind PLM objects.

Object vs Deliverable

An engineering object represents something to be managed. A deliverable represents the expected evidence or output associated with a milestone.

Definition Objects

Typical project structures distinguish product definition, engineering objects, consultation packages, configurations and reference baselines.

Expected Deliverables

Examples include design dossiers, calibration/software packages, FNR choices, implantation studies and validation evidence.

Workflow & Approval

Follow the lifecycle: create → review → request changes → approve → baseline → reuse. The workflow is part of engineering quality.

Configuration

Know the product variant, revision and maturity level associated with every decision and every validation result.

Change Management

Link the change request to affected objects, deliverables, validation, implementation and final status.

CAE EXAMPLES

Simulate first. Learn before you build.

CAE is most valuable when the simulation answers a specific engineering question and its result is connected to the physical validation plan.

STAMPING / FORMING

AutoForm-type analysis

Study formability, thinning, wrinkling, springback and process feasibility before committing to tooling.

INJECTION MOLDING

MoldFlow-type analysis

Evaluate filling, pressure, cooling, shrinkage, warpage and potential weld/air-trap risks for plastic parts.

STRUCTURAL / FEM

Finite Element Analysis

Assess stiffness, stress, deformation, modal behavior or local reinforcement needs before physical testing.

TOLERANCE / ROBUSTNESS

Tolerance-chain studies

Quantify stack-up and dispersion at critical interfaces, then convert the result into product or process actions.

PLM × CAE × APQP

The digital chain only matters when it supports a project decision.

Simulation results become useful when the configuration is controlled in PLM, the risk is visible in the project plan, and the physical validation confirms or challenges the digital prediction.

QUALITY • COST • TIMING • PERFORMANCE

Connect PLM and CAE evidence to QCTP

An engineering change should not be assessed only as a CAD update or a simulation result. QCTP connects the affected product definition with quality and validation evidence, supplier and tooling cost, and timing for analysis, implementation and verification.

Quality

Requirements, acceptance criteria, validation plan and supplier quality commitment.

Cost

Change cost, tooling or non-recurring costs, piece-price impact and agreed assumptions.

Timing

Lead time, samples, tooling, tests, approvals and planned implementation date.

Performance

Functional, technical and vehicle-level performance requirements, targets, constraints and validation evidence affected by the change.

Practical rule: before approving a supplier modification, request a documented QCTP impact assessment and explicit commitments. QCTP is also commonly referred to as QCDP in French-speaking teams.

Discuss a QCTP or supplier-change challenge →

RECOMMENDED EXTERNAL LEARNING