MADE for Design

Optimise design decisions with analysis-driven engineering evidence.

MADE helps engineering teams model, analyse and compare design configurations for safety, reliability, maintainability and cost of ownership — turning early design decisions into traceable, validated lifecycle outcomes.

Trade Studies Compare alternate design configurations.
Risk Mitigation Identify safety and availability risks earlier.
Cost Insight Understand design and mission-profile cost impacts.
Validation Evidence safety, reliability and maintainability.
Knowledge Capture Configuration-controlled design intelligence.
The Problem

Complex systems make good design decisions harder to prove.

The goal of any design process is a safe, reliable and cost-effective system that performs its required functions. But increasing system complexity, distributed design responsibility, supply-chain involvement and disconnected digital design and analysis tools make these outcomes difficult to achieve.

The MADE solution.

MADE provides an engineering-based Decision Support Solution that enables modelling, technical analysis and trade studies of alternate design configurations for safety, reliability and cost of ownership.

Transparent UAV cutaway showing complex system architecture for MADE design optimisation

Complex mission-critical systems require design decisions that connect architecture, failure behaviour, safety, reliability, maintainability and lifecycle cost from the beginning.

Digital Risk Twin

Connect design decisions directly to risk, cost and lifecycle performance.

MADE enables simulation-based design evaluation integrated with the Digital Twin and Digital Thread, supporting concurrent, automated and objective risk identification at each stage of design.

Design
Digital
Risk Twin
CAD / PLM
Safety
Reliability
Cost
MADE Design Optimisation Process

From mission definition to validated design evidence.

MADE supports a structured design optimisation workflow that helps teams define, model, analyse, calculate and validate design decisions.

1

Define

Define how and where the system will be used, including mission profile and operating environment.
2

Model

Identify potential failures, dependencies and when they are likely to occur.
3

Analyse / Mitigate

Identify optimal failure mitigation and maintenance approaches for critical risks.
4

Calculate

Generate expected maintenance requirements and lifecycle costs for the design.
5

Validate

Use technical analyses to evidence safety, reliability and maintainability outcomes.

Design challenges MADE helps solve

MADE closes the gap between digital design tools and traditionally manual RAMS analysis workflows.

01

Disconnected analysis workflows

Replace spreadsheet-driven analysis with structured, model-based workflows that can be reused and updated as the design evolves.

02

Distributed design responsibility

Maintain consistent design knowledge across geographically dispersed teams, functional groups and supplier organisations.

03

Unclear cost impacts

Understand how design configuration, mission profile, usage cycle and operating environment affect ownership cost.

04

Late risk discovery

Identify and analyse risks that impact safety, availability and lifecycle cost earlier in the design process.

05

Weak budget validation

Support budget forecasts with engineering calculations and technical analysis rather than untested assumptions.

06

Knowledge loss

Capture, configure and transfer design knowledge across the analysis lifecycle and product lifecycle.

MADE design optimisation fault tree analysis
Integrated Analysis

Validate design decisions with automated analysis outputs.

Safety, reliability and maintainability evidence from one model

MADE helps engineering teams generate the technical evidence needed to validate design decisions, including FMECA, Fault Tree Analysis, Reliability Block Diagrams and RCM outputs.

Mission and Environment

Analyse the impact of usage cycles and operating environments.

Design for how the system will actually be used

MADE supports mission profile definition and environment loading, enabling design teams to understand how operational context changes reliability, maintainability, safety and sustainment cost.

MADE design optimisation FMEA analysis
Decision Support Solution

What MADE offers as a design DSS.

MADE optimises the design decision process by improving productivity, engineering decision quality, total cost of ownership, knowledge capture and reuse.

Cost effective: tangible benefits to productivity, decision quality and ownership cost.
IT conformity: works with existing or proposed IT architecture, including CAD and PLM.
Reusability: model-based approach that is extensible and supports design variations.
Knowledge capture: configuration management of the model and data across the analysis lifecycle.
Decision
Support
System
Trade Studies
Automation
Validation
Lifecycle
How MADE Provides Validation

Engineering calculations behind design confidence.

MADE uses a combined simulation model of the asset to compare alternate sustainment operating concepts and validate design decisions.

Technical Reconcile functional capability with customer requirements.
Safety Evidence the safety case using FMECA, FTA, RBD and RCM outputs.
Budget Support cost estimates with engineering calculations and analysis.

MADE functionality for design optimisation

MADE connects modelling, safety, reliability, maintainability and PHM analyses into one integrated design environment.

Mission Profile Definition

Define how the system will be used and connect usage assumptions to downstream analysis.

Environment Loading

Assess the impact of operational environments on reliability, maintenance and lifecycle cost.

Functional / Failure Analysis

Model functions, failures, failure dependencies and system-level effects.

Reliability Analysis

Analyse expected reliability and identify reliability drivers across the system architecture.

Reliability Centered Maintenance

Identify optimal failure mitigation and maintenance approaches for critical risks.

CBM Design

Assess diagnostic and monitoring options that can improve maintenance timing and asset availability.

Maintenance Cost Estimate

Generate expected maintenance costs to support ownership cost and budget decisions.

Maintenance Action Reports

Produce actionable maintenance outputs that connect technical analysis to support planning.

FMEA / FMECA and FTA

Generate safety and reliability analyses from the model to support design validation.

Outcomes for design teams

MADE helps design teams move from isolated analysis to integrated engineering decision support.

Improve decision quality Compare design configurations using technical, safety and cost evidence.
Reduce lifecycle cost Understand the cost impact of design configuration and mission profile.
Identify risk earlier Run concurrent model-based risk identification and mitigation during design.
Validate forecasts Support budget estimates with engineering calculations and simulation outputs.
Capture knowledge Keep design and analysis knowledge configuration controlled and reusable.
Support digital thread Connect model-based RAMS outputs with broader CAD, PLM and Digital Twin workflows.
Recommended Resource

Download the MADE for Design brochure.

See how MADE supports design process optimisation, trade studies, technical validation, lifecycle cost analysis and integrated model-based RAMS workflows.

Make better design decisions earlier with MADE.

MADE enables teams to connect design configuration, safety, reliability, maintainability, mission profile and lifecycle cost into one model-based decision support framework.

Start Your MADE Software Journey Today

Let’s explore how the MADE Reliability Software can transform your engineering processes

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