Build better maintenance strategies from engineering evidence.
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.
Faster Model Creation
Import an existing FMEA or build directly in the modelling canvas.
RCM Logic
Evaluate functional failures through structured decision logic.
Maintenance Impact
Simulate the effect of failure modes and maintenance actions.
Cost Confidence
Link maintenance strategy to lifecycle cost and sustainment budgets.
Maintenance strategies should not be built on static assumptions.
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.
Move from maintenance compliance to maintenance intelligence.
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.
From FMEA to optimized maintenance strategy.
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.
Create the Model
Import an existing FMEA from Excel or build directly inside MADE.Apply RCM Logic
Evaluate functional failures using structured maintenance decision logic.Simulate Impact
Assess failure modes, maintenance actions, operating context and cost outcomes.Optimise Strategy
Improve maintenance schedules, availability and lifecycle cost performance.Model-Based RCM helps solve the maintenance problem that matters.
Not simply “what maintenance should we perform?”, but “which maintenance strategy delivers the best operational, reliability and cost outcome?”
High-cost maintenance burden
Identify maintenance strategies that are expensive, inefficient or poorly aligned to actual system risk and operating context.
Unnecessary inspections
Reduce avoidable maintenance effort by evaluating task value against failure behaviour, system impact and operational consequence.
Disconnected failure analysis
Connect FMEA, functional failures, maintenance task logic and cost modelling within a single model-based framework.
Weak sustainment confidence
Use model-based evidence to improve confidence in maintenance planning, sustainment budgets and operational availability.
Limited strategy traceability
Track how maintenance strategies are created, updated and improved, with greater visibility into engineering context.
Slow return on analysis effort
Accelerate model creation using FMEA import while retaining the flexibility to model systems directly inside MADE.
RCM powered by model-based system context.
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.
Download the MADE RAM Module brochure.
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.
Start from your existing FMEA, or build directly in MADE.
Reduce setup effort. Accelerate return on analysis.
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.
Connect maintenance strategy to cost consequence.
Compare preventive and corrective maintenance with evidence.
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.
What MADE Model-Based RCM enables
MADE helps teams develop maintenance strategies that are connected to system behaviour, operating context, risk and cost.
Model Creation
Create models quickly from imported FMEA data or build directly using MADE’s modelling canvas.
System Context
Reflect mission operating parameters and usage context in maintenance strategy development.
Digital Risk Twin
Use a virtual representation of the system to understand failure behaviour, risk and maintenance impact.
Trade Studies
Compare maintenance strategies and evaluate their effect on availability, cost and performance.
Configurable Workflows
Support maintenance analysis workflows including RCM II, MIL-STD, MSG-3 and NAVSEA approaches.
Traceability
Track user changes, strategy updates and the engineering context behind maintenance decisions.
Impact for engineering and sustainment teams
MADE Model-Based RCM helps teams reduce unnecessary maintenance, improve asset availability and build strategies that are easier to justify, update and optimise.
Predict failures earlier
Use system context and failure behaviour to better understand maintenance risk.
Design out cost
Identify high-cost maintenance drivers and improve maintainability during design.
Optimise schedules
Improve maintenance timing by linking task logic to system behaviour and consequence.
Improve availability
Support maintenance strategies that reduce downtime and improve operational capability.
Capture knowledge
Preserve engineering context, decisions and strategy evolution inside the model.
Reduce TCO
Lower labour, material and sustainment cost through evidence-based maintenance decisions.
Start making better engineering decisions.
Explore what MADE can do for your team.