Reliability by
Design: Concept to Sustainment
Maximize uptime, reduce lifecycle costs, and design with confidence.
The MADE RAM Module helps you predict and prevent system failures, optimize hardware redundancy, and set reliability targets that align with mission goals. From early design through operations, it enables cost-effective maintenance strategies tailored to real risks, ensuring smarter decisions and sustained system performance.
Top-down reliability for performance & requirements
Bottom-up editing to verify & roll up reliability
Control reliability configurations & assessments
Assess lifecycle sustainment costs
Detect and resolve weak components early
Run trade studies for strategy refinement
Reduce Downtime, Boost Performance
Reliable Insights for Smarter Engineering
The RAM Module leverages the Digital Risk Twin to transform how reliability and maintainability are analyzed, evaluated, and optimized. By digitizing technical risk across the full lifecycle, it empowers engineers to iterate rapidly, simulate outcomes, & verify design decisions with confidence, minimizing the unknown risk factor before fielding. Through seamless integration with system models and mission profiles, the module offers a dynamic environment to balance performance, cost, and supportability. This RAM Module allows engineers to:
RAM Module High-level Features
RAM Built In, Not Bolted On
Model-Based RAM That Engineers Can Trust
The MADE RAM Module delivers a powerful set of capabilities that elevate reliability, availability, and maintainability engineering into a fully digital, model-based environment. Designed to meet the demands of modern, high integrity systems, it enables engineers to replace fragmented, manual processes with a unified analytical framework that spans the entire system lifecycle. From early concept development to operational sustainment, the module empowers teams to model failure behavior, predict system performance, and make informed trade-offs faster and with greater confidence. By integrating automated analysis, standardized taxonomies, and the Digital Risk Twin, MADE transforms RAM activities into a streamlined, traceable, and collaborative process.
Why MADE-RAM?:
Model-Based Automated Analyses – Accelerate engineering workflows and reduce manual errors
Digitization of Domain Knowledge – Capture, reuse, and evolve engineering expertise across programs
Objective, Traceable Analyses – Ensure transparency, consistency, and audit-readiness in every decision
Standardized Engineering Taxonomy – Align teams with common definitions, structures, and data integrity
Digital Risk Twin (DRT) – Simulate failure behaviors, assess real risks, and validate design choices continuously
Power-up with Model-based RAM Analysis
Find Out How - Download the MADE RAM Module Brochure
Click the image to download and see how MADE RAM Analysis can transforms your RAMS strategy into a competitive advantage.
Build Reliability In from the Start
Model-Based RAM Analysis in One Integrated Environment
The MADE Reliability, Availability & Maintainability (RAM) Module empowers engineers to design for performance, optimize supportability, and reduce lifecycle costs, right from the earliest stages of development. By unifying reliability predictions, maintainability analysis, and availability modeling into a single, digital workflow, this module enables rapid iteration, traceable decisions, and system wide optimization. From setting performance baselines to conducting trade studies, the RAM Module helps teams deliver robust systems that meet mission goals and stay operational longer.
Key capabilities of this module include:
RBD Model / Dependence Diagrams (ARP4761 Rev A)
Dependency grouping and configuration of the system to model redundancy design
Reliability Allocation
Auto-calculates item reliability based on target system level reliability
System Reliability Analysis
Auto-calculates Inherent reliability analyses of the system based on RBD and MPD
Availability / Reliability Charting
Dashboard key component / system level availability / reliability metrics
Maintenance Cost Estimates (MCE)
Calculates ‘whole of life’ system sustainment cost based on ROM reliability and maintenance parameters for each model item based on the maintenance approach
Failure Rate Prediction (FRP)
Calculate expected failure rate of components based on MIL-HDBK-217F
Markov Analysis
Probabilistic, time dependent reliability modelling for complex systems which have state dependent repair and failure paths
Reliability-Centered Maintenance (RCM)
Structured approach to designing a maintenance program that ensures systems continue to perform their required functions safely and reliably, by focusing on preventing or managing failures based on their criticality and impact
Back-fit RCM (B-RCM)
Process of applying Reliability Centered Maintenance (RCM) to an existing system or asset to improve its maintenance program based on actual operational experience
Maintenance Task Analysis (MTA)
Captures the maintenance activities associated with components and specific failures
System Maintenance Actions Editor
Project level overview of maintenance actions
