One of the SI’s key discriminators is our expertise in conducting analysis and making fact-based recommendations. The ability to support our conclusions with data and analysis provides the added credibility our customers require to help justify the critical decisions they are making. Our experience and technical knowledge in a number of key domain areas, combined with proven models and simulators, have distinguished the SI over the past 40 years. Our analytical approach is applied throughout the program life cycle:
- During the acquisition phase, we refine the concept of operations, requirements and architecture through modeling and analysis trade studies.
- Throughout the development phase, we identify system and enterprise risks by simulating projected systems and conducting sensitivity analyses.
- In the verification phase, we leverage modeling and simulation to support system and enterprise verification, calibration and initialization.
- During the operations phase, we analyze operational data, conduct performance trending, proactively identify issues, support anomaly troubleshooting, and develop mitigation options through detailed modeling of system functions.
Conduct Performance Trade Studies
Trade studies are used to help make decisions when there is more than one selection criterion or design approach. Trade studies can be employed at many stages in the design process, from establishing a top-level system configuration down to identifying a detailed definition of an individual component. Performance trade studies typically involve conducting modeling and analysis for multiple options and comparing and contrasting the performance metrics for each to determine which option produces the most desirable results.
Define Performance Requirements
Performance requirements establish measurable parameters associated with functional requirements and provide guidance to developers in the categories of quantity, timing, capacity, quality, reliability, maintainability and availability.
Estimate Future System Performance
Using models and simulators designed to accurately reflect future system capability, the SI conducts an analysis to quantify future system performance. The estimates of future system performance will be used to define requirements and provide targets for designing and developing future systems and architectures.
The SI applies a mathematical approach to identify the solution that provides the most effective or efficient performance (or other metric) from a family of solutions.
End-to-End Performance Closure
End-to-end performance closure involves assessing the performance of the architecture, and all the systems and interfaces that comprise it, from an enterprise perspective to ensure that all system and interface requirements are satisfied and the overall enterprise performs as intended to meet all quantity, quality, capacity, timeline, and throughput specifications.
Conduct Performance Validation
In support of verification and validation activities, the SI conducts analysis using models, simulators, spreadsheets and calculations to confirm that the developed systems satisfy the documented performance requirements and that the system is effective and meets all stakeholder expectations.
Support Performance Calibration and Initialization
As part of transition activities, the SI conducts analysis to properly calibrate system components by comparing measured performance of the new system against known and accepted performance. Perform initialization by setting system parameters to pre-defined settings to provide optimal performance.
Monitor Operational Performance and Conduct Trend Analysis
The SI performs operational performance monitoring by collecting operational performance data associated with pre-defined metrics, and evaluating the data with respect to established requirements and constraints from a fixed point in time, as well as how performance is changing over time. We evaluate trend performance to proactively take corrective action if performance is approaching boundary conditions.
Anomaly Identification and Resolution
Through operational performance monitoring, the SI identifies performance degradations or failures. We conduct root cause analysis to determine the source of the performance degradation, and evaluate methods to correct or mitigate the failure condition either through hardware, software, or CONOPS changes.
The following technical papers were published at the 23rd Annual Internationl Council on Systems Engineering (INCOSE) Symposium.