Risk connected to system behaviour
The DRT links functions, flows, dependencies and components so failure behaviour can be analysed in context rather than treated as isolated spreadsheet entries.
Digital Risk Twin
Shift RAMS left with a living model of system risk.
A Digital Risk Twin helps engineering teams identify, analyse and mitigate technical risk from early concept and design through to operations and sustainment.
MADE creates and maintains a Digital Risk Twin, enabling model-based RAMS analysis, failure propagation insight, design optimisation and lifecycle decision support.
Learn more about MADEFrom static RAMS documents to a connected risk model.
In complex mission-critical systems, risk does not live in isolated documents. It moves through functions, dependencies, components, operating contexts and maintenance decisions.
A Digital Risk Twin captures that connected risk logic so engineering teams can understand how failures propagate, how impacts change across the lifecycle, and where mitigation delivers the greatest value.
What is a Digital Risk Twin?
A Digital Risk Twin uses a simulation model of a system to identify potential failures, hazards and consequences across system configuration, safety, operations, context and lifecycle cost.
Designed for mission-critical decisions
Each risk can be considered against safety impact, operational impact, environmental context, mission profile, logistics approach and cost of ownership.
Example of failure propagation identified by MADE’s Digital Risk Twin through the injection of a failure in the coupling assembly.
Digital Risk Twin Definition
“A Digital Risk Twin is a Digital Twin, or a digital representation of an intended, or actual physical product that contains the necessary information in terms of functions, flows, components and other criteria that allows a risk simulation to be undertaken, identifying the risks of a system during operation and their path of propagation through the system.”
MADE and the Digital Risk Twin
MADE generates a dynamic model of a system focused on risk management, RAMS analysis, availability, maintainability and lifecycle performance.
A model-based RAMS foundation
MADE provides a virtual representation of system design, physical functionality and processes so engineering teams can monitor, analyse and manage technical risks proactively.
Design, safety and sustainment connected
By connecting risk management with availability and maintainability assessment, MADE supports better decisions across design, operations and sustainment.
MADE enables engineers to create, maintain and analyse a Digital Risk Twin as system designs evolve.
Core Features of a Digital Risk Twin
A DRT improves RAMS quality and speed by combining model-based engineering, automation, simulation, visualisation and connected data.
- Autonomous Risk Analysis — establishes dependencies and impacts of potential failures and generates analyses to identify mitigation strategies.
- Integrated Data Management — connects lifecycle information and maintains traceability between risks, activities and engineering decisions.
- Visualisation and Simulation — shows risk propagation and failure impact pathways across the system.
- Automated Processes — reduces manual data entry and replication, improving efficiency and accuracy in RAMS workflows.
Challenges Addressed by a Digital Risk Twin
Digital Risk Twins help engineering teams manage complexity, maintain data currency and reduce manual effort across RAMS activities.
Handling Complexity
Provides a unified view of system risks and dependencies across increasingly complex multi-domain engineering systems.
Ensuring Data Currency
Helps ensure that updates in one area are reflected across related analyses and decisions.
Reducing Manual Effort
Automates repetitive data exchange and analysis so engineers can focus on risk identification and mitigation.
Implementing a Digital Risk Twin
A DRT supports RAMS knowledge capture, safety assessment, optimisation, reuse and integration between design and operations.
Risk Knowledge Capture
Captures and shares risk models, failure causes and system knowledge.
RAMS Analysis Support
Supports safety assessment processes including FHA and FTA.
Optimisation and Reuse
Reuses data and analysis knowledge across projects and future designs.
Design to Operations
Connects design insight with physical systems and sustainment feedback.
Benefits of Using a Digital Risk Twin
A Digital Risk Twin helps improve analysis quality, reduce lifecycle cost, accelerate future development and strengthen certification confidence.
- Enhanced Design Optimisation — automates RAMS analyses and provides actionable insight to improve reliability and safety.
- Improved Analysis Quality — provides higher data fidelity and stronger visualisation for more reliable RAMS outputs.
- Faster Future Developments — enables reuse of data and models across future programs.
- Comprehensive Documentation — supports traceable RAMS requirements, decisions and changes for audits and certification.
- Competitive Advantage — provides a stronger framework for managing system risk and differentiating engineering capability.
Analyses Produced from a Digital Risk Twin
A model-based DRT allows RAMS assessments to be iterated efficiently, reducing the need to manually track changes across disconnected systems and disciplines.
Fault Tree Analysis
Failure Mode Effects Analysis
Reliability Block Diagram
Reliability Centred Maintenance
Reliability Allocation
Mission Effectiveness Function List
Maintenance Cost Estimate
PHM Design
Digital Risk Twin White Paper
PHM Technology published the paper “The Digital Risk Twin – Enabling Model-based RAMS”, outlining how DRT technology enables digital transformation for the RAMS domain.
The paper discusses DRT terminology, RAMS-specific context, key attributes and deliverables, and how a Digital Risk Twin provides value by connecting risk, safety and system behaviour.
The Digital Risk Twin – Enabling Model-based RAMS
Learn how a Digital Risk Twin supports model-based RAMS by autonomously establishing potential dependencies and impacts of functional and physical failures across a system.
Download the PaperMove RAMS from compliance activity to engineering advantage.
MADE’s Digital Risk Twin gives engineering teams a connected, traceable and simulation-driven way to understand system risk, improve design decisions and support lifecycle performance.
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