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| Program Areas |
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Efforts conducted at the Systems Modernization and Sustainment Center are
currently separated into four program areas — Asset Health
Management; Material Aging; Modernization
Through Remanufacturing and Conversion; and Life-Cycle
Engineering and Economic Decision System — with each program
encompassing numerous related projects.
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Asset Health Management
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Technologies to monitor equipment health and predict future failures for
reduced operating costs and longer equipment lives.
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Prognostic (failure prediction) abilities based on material aging
characteristics
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Asset health recording for optimized asset assignments
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Remote engineering support
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Platform health reporting for rapid response to equipment problems
Material Aging
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A research initiative to characterize how and why materials fail and advance
the technologies to keep equipment operating longer and more reliably.
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Root cause failure analysis
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Design or material enhancements to increase useful life
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Failure effects modes to increase useful life analysis (FEMA)
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Material restoration techniques
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Simulated laboratory tests
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Prediction of remaining life
Modernization Through Remanufacturing and
Conversion (MTRAC)
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An organized approach to integrating remanufacturing into the full life cycle
of a product or system at low cost, low risk and with improved performance in a
shorter lead-time.
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Design for remanufacturing
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Advance technology insertions
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Remanufacturability assessments
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Metrics and economic models that support technology refresh
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Cost estimations for upgrades
Life-cycle Engineering and Economic Decision System (LEEDS®)
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A decision support system that is applied from design through retirement,
allowing optimization of life-cycle costs through periodic technology upgrades and remanufacturing.
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On-board maintenance support
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Tools to frequently revisit maintenance, modernization, remanufacturing,
operating costs and other variables throughout a system's life
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High-level monitoring of performance of key systems
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Management of design, cost, condition and performance data
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Data collection from fielded systems, data analysis, and subsequent
decision-making amongst remanufacturing alternatives.
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 Function
analysis
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Remanufacturing decision support incorporating technical and economic
feasibility factors
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Condition assessments
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Life-cycle monitoring
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Failure modes effects and criticality analysis (FMECA)
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Value analysis weighing procurement, operating and maintenance costs, life
expectancy, improved performance and environmental impact
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