Wednesday, January 22, 2025 Virtual Event
Please join the INCOSE Colorado Front Range Chapter for a virtual presentation by Yvonne Bijan on Using MBSE to Perform Functional Analysis to Analyze Customer Requirements.
Date: Wednesday, January 22, 2025
Time: 6:30 PM MT
Topic: Using MBSE to Perform Functional Analysis to Analyze Customer Requirements
The theory of Systems Engineering says we start at the top with customer needs, define requirements for the top level system in our product hierarchy, then decompose those requirements into the subsystem requirements at the next level down in the hierarchy-
or does it? Some believe architecture work can begin once the requirements work is completed at any given level, but is that the only time that the tools and methods for architecture are useful? Have you ever been on a program where the practice of
Systems Engineering aligns with the theory of Systems Engineering 100 percent? How do you cope with the deviations from the theory? What happens when the original requirement at the top is not an appropriate one that people should start with? This
presentation will have a brief overview of systems engineering and then walk through an example of a top level requirement handed down from a customer to a program. We will use functional analysis to improve the requirement and answer the preceding
questions.
Speaker:
Yvonne Bijan is an LM Fellow and has worked for Lockheed Martin for twenty-five years. She has a Doctor of Philosophy in System Engineering from Southern Methodist University. Yvonne has worked on numerous aeronautic and space programs
including F-35 and Space Based Infrared System and is currently an Enterprise Architect. She is an Expert Systems Engineering Professional, Certified SysML Model Builder Advanced, SAFe Agilist, and holds a QFD Greenbelt. She has a B.S. in Physics
with a minor in Math and an M.S. in Computer Science with a concentration in Software Engineering.
Please contact the Colorado Front Range Board of Directors (BoD) if you have questions.
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Meeting ID: 226 098 142 768
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