MADe provides a consolidated modelling and analysis solution that results in improved data quality from suppliers and ‘a single point of truth’ system model that is easier to integrate with on-going configuration management processes
There is a requirement to utilize engineering tools that have the appropriate data quality, usability, integrity, currency and knowledge capture capabilities to ensure accurate engineering modelling and analysis.
Roles
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