TMSolutions executes disciplined system engineering processes aiding our clients throughout the system engineering life cycle. We provide quantitative and qualitative analyses in helping clients define end user capabilities, functions, and requirements, then translate those requirements into measurable, testable, and achievable technical performance measures (TPM). We also participate in requirements decomposition and allocation through supporting technical reviews, e.g., system functional review, preliminary and critical design reviews, to evaluate system maturity and readiness to establish system baselines and then move to the next phase of development. We apply model based system engineering (MBSE) in the context of model based product support (MBPS) by translating development models into reliability, availability, maintainability (RAM) models using commercial software packages, e.g, PTC’s Windchill Quality Solutions (WQS) and Systecon’s OPUS10, to analyze supportability performance of the system’s evolving design. With these apps, our team evaluates satisfaction of end user requirements, TPM, and emerging specification values and metrics. We trace system performance back to the end user requirements and subsequent derived requirements to identity variances in performance and conduct sensitivity analyses to evaluate the technical benefits, costs, and risks of alternative design or process improvements.
We support our clients work through System Engineer Technical Review processes by developing tailored requirements for development contracts, evaluating technical deliverable, and developing entry and exit criteria for each major technical review. In cases when the evolving system design does not satisfy technical or contractual requirements, our team develops requests for information or actions to ensure accountability and a disciplined process for system improvement is followed.
TMSolutions’ System Engineers (SE) understand that the SE process does not end with production and delivery of an end item. In fact, our SE staff manage and track system performance over the life cycle with Life Data Analyses to identify performance trends and the need to improve system design, operational employment, or the support infrastructure to achieve the required level of system operational availability and affordability.