High-cost maintenance burden
Identify maintenance strategies that are expensive, inefficient or poorly aligned to actual system risk and operating context.
MADE’s Model-Based Reliability Centered Maintenance capability helps engineering and sustainment teams design, validate and optimise maintenance strategies using a Digital Risk Twin — connecting failure behaviour, operating context, maintenance actions and cost impact in one model-based workflow.
Traditional RCM can become document-heavy, slow to update and disconnected from the system model. MADE brings RCM into a model-based environment, helping teams understand how functional failures, operating conditions, maintenance tasks and cost drivers interact across the lifecycle.
MADE’s RAM module includes integrated RCM and B-RCM capabilities, enabling engineers to develop and validate maintenance strategies with model-based context, structured logic and traceable analytical outputs.
MADE streamlines the RCM process by allowing users to import existing FMEA data or build a model from scratch, then use the Digital Risk Twin to evaluate maintenance tasks, cost exposure, operating context and reliability impact.
Not simply “what maintenance should we perform?”, but “which maintenance strategy delivers the best operational, reliability and cost outcome?”
Identify maintenance strategies that are expensive, inefficient or poorly aligned to actual system risk and operating context.
Reduce avoidable maintenance effort by evaluating task value against failure behaviour, system impact and operational consequence.
Connect FMEA, functional failures, maintenance task logic and cost modelling within a single model-based framework.
Use model-based evidence to improve confidence in maintenance planning, sustainment budgets and operational availability.
Track how maintenance strategies are created, updated and improved, with greater visibility into engineering context.
Accelerate model creation using FMEA import while retaining the flexibility to model systems directly inside MADE.
MADE creates a Digital Risk Twin that links RAMS analysis directly to the system model. For RCM, this provides the context needed to understand functional failures, maintenance actions, operating conditions and lifecycle consequences.
MADE enables teams to import existing FMEA data from Excel or create models from scratch using the integrated modelling canvas, helping organisations move faster from source data to actionable maintenance strategy.
MADE’s RAM module includes maintenance cost estimation and economic modelling capabilities, helping teams compare maintenance approaches, predict sustainment budgets and quantify the value of design improvements.
MADE helps teams develop maintenance strategies that are connected to system behaviour, operating context, risk and cost.
Create models quickly from imported FMEA data or build directly using MADE’s modelling canvas.
Reflect mission operating parameters and usage context in maintenance strategy development.
Use a virtual representation of the system to understand failure behaviour, risk and maintenance impact.
Compare maintenance strategies and evaluate their effect on availability, cost and performance.
Support maintenance analysis workflows including RCM II, MIL-STD, MSG-3 and NAVSEA approaches.
Track user changes, strategy updates and the engineering context behind maintenance decisions.
MADE Model-Based RCM helps teams reduce unnecessary maintenance, improve asset availability and build strategies that are easier to justify, update and optimise.
See how MADE’s RAM module supports Reliability Centered Maintenance, Maintenance Task Analysis, Maintenance Cost Estimation, RBD, FTA, reliability prediction and full-spectrum RAM analysis in one unified platform.
MADE helps teams move beyond static maintenance documents and build evidence-based strategies that improve reliability, availability, maintainability and lifecycle cost outcomes.
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