Outcomes
The results of the project:
- Analysis solution to model the impact of mission profile / operating environment on maintenance costs
- Identified Poor Performers and recommended changes to the approach / periodicity of maintenance
- Gap analysis / validation of OEM maintenance recommendations based on operational data
- Increased capability readiness (Operational Availability) of the platform
- Reduced sustainment costs for the platform
- Recommendations for design improvements
- A knowledge base of failures and maintenance actions that the Contractor can reuse across the life of the platform / contract
- A means of validating and communicating their analysis to the customer
Process
The OEM analysed the maintenance records for the platform to identify components that were failing more frequently than expected, and used MADE to:
- Analysis of maintenance data to identify Poor Performing (PP) components / systems
- Identify potential changes to the approach / periodicity of maintenance for PP components
- Trade studies to increase capability readiness (Operational Availability) of the platform
- Analysis solution to model the impact of mission profile / operating environment on maintenance costs
- Calculate potential reduction in sustainment costs for the platform (Maintenance Costs)
- Technical / economic validation of recommendations for design improvements
- Create a knowledge base of failures and associated maintenance actions that the Contractor can reuse across the life of the platform / contract
- A means of validating and communicating their analysis to the customer
Outputs
MADE was used to generate the following deliverables:
Functional Block Diagrams
Functional Block Diagrams of the selected systems
Reliability Block Diagrams
Reliability Block Diagrams of the systems (to identify PP components)
Failure Diagram
Failure diagrams of PP components (to capture associated physics of failure)
FMEA / FMECA
FMEA report for the systems (automatically)
Back - fit RCM
Back-fit RCM analysis conducted on PP