Model-based RAMS for mission-ready defense systems.
MADE helps defense organisations control cost, improve readiness, validate supportability, and manage risk across air, land, sea and unmanned systems.
Defense programs must deliver readiness under pressure.
Defense organisations face shrinking budgets, increasingly complex systems and growing emphasis on Performance-Based Contracting. These dynamics demand a new approach to system design, sustainment and lifecycle management.
MADE connects design, RAMS and sustainment.
MADE transforms how air, land, sea and unmanned defense systems are designed, analysed and supported — improving mission readiness while controlling cost and risk.
Engineering for mission assurance.
For air, land, sea and unmanned platforms
MADE enables defense programs to answer critical questions during both system development and sustainment.
- Are effective Condition-Based Maintenance capabilities built into the system design?
- Does the design meet contracted supportability goals under PBC frameworks?
- Can unmanned systems optimise uptime through integrated diagnostics and health management?
- What engineering changes can mitigate operational failures in legacy systems?
Design autonomous platforms for availability, resilience and mission success.
UAVs, UGVs and unmanned maritime systems rely on built-in intelligence, diagnostics and fault tolerance. MADE supports PHM, fault isolation, mission reliability and graceful degradation by connecting system behaviour to a Digital Risk Twin.
How MADE supports air, land, sea and unmanned defense systems
MADE provides a connected model-based RAMS environment for mission-critical defense systems across operational domains.
Air: mission-capable aerospace systems
Support air platforms through model-based FMECA, FTA, HUMS integration, airworthiness supportability verification and mission-specific maintenance analysis.
Land: operational readiness for ground vehicles
Model reliability and availability across harsh operating environments, evaluate repair strategies and optimise spares, tools and field support.
Maritime: sustaining high-value naval assets
Enable system-of-systems reliability modelling across propulsion, weapons, communications and life-support systems.
Unmanned: availability and resilience
Validate diagnostics, PHM algorithms, fault tolerance, graceful degradation and supportability KPIs for autonomous operations.
One connected model for mission risk, supportability and lifecycle decisions.
By digitising the RAMS process and integrating safety, reliability, maintainability and diagnostics into a single digital model, MADE provides a Digital Risk Twin to assess risk, validate design decisions and improve lifecycle outcomes.
How MADE adds value across key defense roles
MADE supports executive decision-making, RAMS engineering, safety, maintainability, diagnostics and cross-disciplinary technical leadership.
Executive Level
- Cost: Improve forecasting accuracy for design and sustainment budgets.
- Process: Enforce traceable, auditable validation across programs.
- Technical: Integrate RAMS analyses with CAD, PLM and digital twin architectures.
Reliability Engineer
- Cost: Reduce time spent manually generating FMECA, RBDs and reliability predictions.
- Process: Execute structured and repeatable RAM analyses in a common environment.
- Technical: Identify critical failure paths and conduct trade studies using integrated simulation tools.
Safety Engineer
- Cost: Reduce certification risk and rework by identifying hazards early.
- Process: Standardise safety case generation with automated FTA and hazard workflows.
- Technical: Maintain traceability of risk mitigations through system changes.
Maintenance Engineer
- Cost: Optimise MTTR and reduce lifecycle sustainment costs.
- Process: Evaluate logistics and supportability using repairable systems modelling and CBM simulation.
- Technical: Analyse maintainability metrics, task intervals and crew workloads.
Diagnostics Engineer
- Cost: Minimise diagnostics development cycles by reusing Digital Risk Twin data.
- Process: Use the Digital Diagnostic Twin to assess fault detection and isolation coverage.
- Technical: Verify diagnostics effectiveness, fault isolation logic and PHM algorithms.
Senior Engineer
- Cost: Perform system-level trade-offs earlier to reduce downstream risk.
- Process: Coordinate RAMS disciplines using a single source of truth.
- Technical: Lead architecture reviews with traceable analysis across teams.
Unlock the power of Model-based RAMS for defense assets.
Download the MADE platform overview to see how Digital Risk Twins, model-based RAMS, diagnostics and lifecycle analysis help transform defense system design and sustainment.
MADE capabilities for defense RAMS
MADE brings FTA, FMEA, FHA, PHM, diagnostics and model-based lifecycle analysis together in one environment.
Fault Tree Analysis
Automated risk tracing for mission assurance
MADE’s automated FTA enables rapid and consistent identification of critical failure paths. By tracing fault propagation from top-level events to root causes, MADE supports mission assurance, platform safety, compliance and CDRL generation.
Failure Mode Effects Analysis
Accelerated, objective and repeatable
MADE’s model-based FMEA supports early identification of potential failure modes across mission-critical defense platforms. It supports system design maturation, reliability engineering, traceability and rapid iteration as designs evolve.
Functional Hazard Assessment
Enhancing safety of mission-critical systems
MADE’s FHA capability enables early identification and prioritisation of functional failure conditions. By linking functional architecture to hazards, MADE provides traceability to loss-of-function scenarios and supports proactive mitigation of safety-critical risks.
Outcomes for Military & Defense organisations
MADE helps teams move from fragmented analysis to connected engineering intelligence.
Engineer mission-ready defense systems with MADE.
MADE enables defense teams to unify reliability, safety, maintainability, diagnostics, supportability and lifecycle analysis within a single model-based engineering framework.