MADe offers an integrated engineering capability that captures and analyses the technical data that is used to support key defence activities including system design, system acquisition, continuous improvement and life extension for air, land or naval systems.
- are effective CBM capabilities to optimise sustainment demonstrated in the system design?
- does the system design meet the contracted supportability goals?
- does the unmanned vehicle have the necessary health management capabilities to optimise system availability?
- what are the optimal engineering changes that can be made to a legacy system to mitigate operational defects or issues?
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Download the following brochures to find out what MADE can do for you.
MADe for Bid & Proposal Development MADe for Design MADe for SustainmentRoles
1. Executive level
Cost: optimize / validate the accuracy of economic forecasting for design / support budgets
Process: ensure consistency and traceability of engineering validation for corporate engineering processes
Technical: integrate safety, reliability and supportability engineering analysis tools and data with the enterprise IT architecture (CAD / PLM)
2. Manager level
Cost: automation of analysis in MADe generates significant productivity / schedule improvements for a project and/or team
Process: parallel / concurrent analyses based on a single source of truth (the MADe model) ensures consistency between different functional groups / silos
Technical: leverage GUI based knowledge management on engineering decisions across the program lifecycle
3. Engineer / Analyst level
Cost: enable cost-effective trade studies, automation of analysis in MADe enables engineers to focus on technical decision making rather than data entry
Process: ensure technically validated design / support concepts are generated based on a consistent, extensible analysis framework
Technical: integrated analysis solution ensures data quality & process consistency for analyses
4. Academic (Research)
Cost: model-based simulation and automation of analysis in MADe ensures researchers can focus their efforts on investigation of outcomes rather than data entry
Process: structured model / taxonomy and automation ensures traceability of data used to support research projects
Technical: integrated analysis solution ensures data quality & process consistency for analyses