Disconnected analysis workflows
Replace spreadsheet-driven analysis with structured, model-based workflows that can be reused and updated as the design evolves.
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.
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.
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.
Complex mission-critical systems require design decisions that connect architecture, failure behaviour, safety, reliability, maintainability and lifecycle cost from the beginning.
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.
MADE supports a structured design optimisation workflow that helps teams define, model, analyse, calculate and validate design decisions.
MADE closes the gap between digital design tools and traditionally manual RAMS analysis workflows.
Replace spreadsheet-driven analysis with structured, model-based workflows that can be reused and updated as the design evolves.
Maintain consistent design knowledge across geographically dispersed teams, functional groups and supplier organisations.
Understand how design configuration, mission profile, usage cycle and operating environment affect ownership cost.
Identify and analyse risks that impact safety, availability and lifecycle cost earlier in the design process.
Support budget forecasts with engineering calculations and technical analysis rather than untested assumptions.
Capture, configure and transfer design knowledge across the analysis lifecycle and product lifecycle.
MADE helps engineering teams generate the technical evidence needed to validate design decisions, including FMECA, Fault Tree Analysis, Reliability Block Diagrams and RCM outputs.
MADE supports mission profile definition and environment loading, enabling design teams to understand how operational context changes reliability, maintainability, safety and sustainment cost.
MADE optimises the design decision process by improving productivity, engineering decision quality, total cost of ownership, knowledge capture and reuse.
MADE uses a combined simulation model of the asset to compare alternate sustainment operating concepts and validate design decisions.
MADE connects modelling, safety, reliability, maintainability and PHM analyses into one integrated design environment.
Define how the system will be used and connect usage assumptions to downstream analysis.
Assess the impact of operational environments on reliability, maintenance and lifecycle cost.
Model functions, failures, failure dependencies and system-level effects.
Analyse expected reliability and identify reliability drivers across the system architecture.
Identify optimal failure mitigation and maintenance approaches for critical risks.
Assess diagnostic and monitoring options that can improve maintenance timing and asset availability.
Generate expected maintenance costs to support ownership cost and budget decisions.
Produce actionable maintenance outputs that connect technical analysis to support planning.
Generate safety and reliability analyses from the model to support design validation.
MADE helps design teams move from isolated analysis to integrated engineering decision support.
See how MADE supports design process optimisation, trade studies, technical validation, lifecycle cost analysis and integrated model-based RAMS workflows.
MADE enables teams to connect design configuration, safety, reliability, maintainability, mission profile and lifecycle cost into one model-based decision support framework.
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