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Automated Dependency Mapping

Next-Generation System Risk Intelligence.

Automated Dependency Mapping (ADM) in the MADE platform transforms how failure behavior is understood in complex systems. Instead of relying on manual definitions or simplified diagrams, ADM automatically generates interdependent failure pathways, linking functional and physical failures through dynamic risk simulations. As the analytical backbone of the Digital Risk Twin (DRT), ADM provides a high-fidelity view of system vulnerabilities and cascading effects, tracing each failure from cause to end effect, offering insights beyond traditional RAMS methods which can only identify Local, Next and End effects.

Know Your System Better

See What Others Can't - MADE Maps Every Step of Failure

Failure Dependency Mapping Comparison

Where Dependency Mapping Delivers Advanatges

Turning Complex Failure Chains into Actionable Intelligence

Improves Risk Visibility

Going beyond standard Local, Next & End Effect, MADE's ADM visually displays every step of a failure.

Improves Traceability

Once every step in a failure propogation is identified a step table is available so you can trace every failure to its cause.

Failure Visualization

The ADM process visually displays (maps) the failure path across the Digital Risk twin in real-time.

Faster Failure Analysis

The automated mapping is driven by the functionlity and rules created in the Digital Risk Twin which can be generated through a single click.

Future-proofs Process

Domain knolwedged capture embeds failure analysis into models, which can be reused across programs, reducing learning curves and errors in future projects.

improve Design Optimization

Reveal hidden vulnerabilites, better support risk trade-offs and improve mitigation strategies becuase of better undwerstanding of intervention points.

Reduce Human Error

Failure propogation is generated autonomosly from the Digital Risk Twin, reducing assessment errors otherwise injected through manual creation of failure insights.

Better Team Collaboration

With the failure knowledge captured and centralized in a Digital Risk Twin teams in projects are drawing on the same source of data.

Design Iteration Ready

Your team can easily and efficiently produce analysis to assess design iteration impacts without a lengthy manual process.

Unlocking Digital RAMS

Turning Complex Failure Chains into Actionable Intelligence

From Function to Root Cause, Mapped Automatically, see how MADE transforms complex engineering models into actionable insight. Failure pathways are traced instantly, showing how physical faults impact system-wide functionality. This is automated dependency mapping visualized, validated, and ready for decision-making.


Failure Dependency Mapping Visualization
Feature MADE Automated Dependency Mapping Traditional Methods
Dependency Identification Auto-generated from system model Manual, error-prone mapping
High Fidelity Failure Path Every step in a failure is identified, visually Local, Next & End effect only
Failure Propagation Real-time cascading effects simulation Static diagrams, no simulation
Standards Support ARP4761A, FMEA, MPD Partial or non-compliant outputs
System Linkage Connects logical and physical models Disconnected or siloed models
Mission & Environment Built-in profile & loading effects Often ignored or approximated
Change Impact Auto-propagated across the model Manual updates required
Traceability Integrated in Digital Risk Twin Limited or non-existent
Scalability Supports large systems with reusable libraries Challenging, high effort to maintain
Efficiency Fast, repeatable workflows Time-consuming and inconsistent

Key Features of MADE's Dependency Mapping

Clear, Connected Views of Failure Pathways at Every System Level

Failure Injection

Failure Injection Feature

Automated Dependency Map

Automated Dependency Map

Failure Step Table

Failure Step Table

System Level Failures

Failure Injection Feature

Sub-system Failures

Automated Dependency Map

SubSub-system Level Failures

Failure Step Table

What Users Say

“Going from a Local, Next and End effect in our failure analysis to MADE's detailed, high-fidelity Automated Dependency Mapping was incredibly insightful.”

— Systems Engineer, Aerospace OEM

“Understanding failures across multiple levels of indenture in a system from component to sub-system and system is made that much easier with MADE's Automated Dependency Mapping.”

— Project Engineer, Maritime OEM