MADE Software | Model-based RAMS | Causation-based AI | FMEA FMECA Software | Criticality Analysis Software

Model-Based Risk Engineering

Redefined

The Maintenance Aware Design Ecosystem or MADE is a model-based industry standard for RAMS (Reliability, Availability, Maintainability, Safety). The MADE platform is designed to transform how engineers identify, evaluate, and mitigate technical risk in complex mission-critical systems. It serves as a digital backbone for reliability & safety engineering teams developing systems across aerospace, defense, transportation, energy and any sector that designs, builds and operates complex-mission critical systems.

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Smarter Decisions, Higher Quality Systems

Built on Digital Engineering principles, MADE digitizes domain expertise and automates RAMS workflows through the creation of Digital RAMS Twins. These twins connect design intent with operational performance, dynamically representing system reliability and risk via indentured system modeling, dependency mapping, and failure simulation. The result: informed, traceable decisions that add up to safer, more resilient systems.

MADE as an Integrated RAMS Toolset

MADE comprises four core, interlinked modules, making it the first RAMS tool in market that integrates data (utilizing a Standardized Taxonomy) within each RAMS discipline. MADE consists of the following modules:

Digital RAMS Twin Creation

Establishes the system architecture and failure logic.

Safety, Risk Assessment

Enables simulation-based safety, reliability, and cost trade-off studies across design alternatives.

Reliability, Availability, Maintainability

RAM Module helps you predict and prevent system failures, optimize redundancy, and set reliability targets that align with performance and mission goals.

Reliability, Availability and Maintainability

Prognostic Health Management

The PHM (Prognostics and Health Management) Module in the MADE platform verifies diagnostic designs and supports PHM trade studies through model-based analysis.

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MADE is part of an Ecosystem

From simulation to in-service insights, MADE connects seamlessly into the future of asset management. The PHMT Ecosystem extends your Digital Risk Twin (DRT) beyond design into operations/sustainment with the MODE platform through the Digital RAMS Backbone (DRB).

Unlocking System Excellence

The Benefits of a Model-Based RAMS Approach

Early Risk Identification

Simulate and resolve potential hazards before build phase.

Integrated Digital Twin

Continuously and cohesively analyze safety, reliability, and maintenance in real time.

Enhanced Collaboration

Accessibility, shareability, and standardized data models promote cross-disciplinary alignment and distributed participation.

Accelerated Certification

Automate compliance workflows and generate audit-ready artifacts.

Lifecycle Cost Reduction

Optimize support strategies and reduce unplanned downtime.

Data Reusability

Capture domain knowledge for reuse across platforms and programs.

Future-State Readiness

As every industry advances rapidly towards embracing AI and other leading technology your RAMS design data can be more effectively utilized if it is digitized using a consistent taxonomy.

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Related Whitepapers

MADE: Development of an Aerospace PHM Software Tool

The Maintenance Aware Design environment (MADE) was conceived to provide a suite of software tools that could be used to design, assess and optimise Prognostics and Health Management systems for use in a wide variety of high risk industries where safety and reliability are critical, including mining, offshore and aerospace applications. MADE is currently being developed for application to aerospace systems and...
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language of FMEA: effective use and reuse of FMEA data

Practical uses of Failure Modes and Effects Analysis (FMEA) range from the identification of potential design defects and safety hazards, to maintenance planning, diagnostics and Prognostics and Health Management (PHM). According to the broadly accepted standard for FMEA, MIL-STD-1629A, a successful FMEA is one that conducted in a timely manner, so that the results can be used to.....
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