Systems Engineering Seminar
“Finding NIMA” - An Introduction to the NASA Integrated Model-centric Architecture Initiative
Presented by:
Gary Mosier, Systems Engineer in the Systems Engineering Services & Advanced Concepts Branch, Code 592
Tuesday August 7, 2012
, 1:00 p.m.Biography:
“Finding NIMA” - An Introduction to the NASA Integrated Model-centric Architecture Initiative
Mr. Gary Mosier is a Systems Engineer in the Systems Engineering Services & Advanced Concepts Branch, Code 592. He has been employed at GSFC since 1987, working in the areas of Robotics, Attitude Control Systems, and Structural Dynamics prior to becoming the lead for Integrated Modeling and Systems Analysis on the James Webb Space Telescope project from 1996-2008. Mr. Mosier is currently leading the modeling and simulation activities for the Wide Field Infrared Survey Telescope concept study. He is one of the developers of the NASA Standard for Models and Simulations (NASA-STD-7009). Mr. Mosier actively participates in several agency-level communities of practice and model-centric strategic initiatives, including NIMA, all of which seek to improve NASA’s engineering tools, processes and workforce capabilities.
Abstract:
In FY12 a 3-year effort was initiated, sponsored by the Office of Chief Engineer (OCE), to define a so-called "NASA Integrated Model-centric Architecture" (NIMA). This initiative includes participants from four Agency communities of practice: Model Based System Engineering (MBSE), Modeling & Simulation (M&S), Computer Aided Design (CAD), and Product Data & Lifecycle Management (PDLM). The NIMA team seeks to identify, integrate and formalize model-centric tools, methods, processes, standards and best-practices across the Agency, leveraging existing capabilities from industry, the NASA centers, and other government organizations whenever possible. Both the OCE and the NIMA team believe that the Agency needs to move from a document-centric to a model-centric business architecture in order to reduce cost, improve schedule, product quality and workforce performance through more timely and well-informed decision making.