This presentation will discuss the current state of the practice of Model-Based Systems Engineering and Digital Engineering in 2022. It will present the advantages of applying automated validation to system models, the opportunities inherent in validation-assisted training, the use of semantic broker technology to exchange data throughout the digital thread, and lessons learned from federating and analyzing descriptive architectures. Case studies, lessons learned, and examples illustrating key points will be shared to emphasize the value that can be achieved through competent system modeling and stewardship of the digital thread.
Michael J. Vinarcik is a Chief Digital Engineer in SAIC’s Engineering Innovation Factory, an adjunct professor at the University of Detroit Mercy, and a Visiting Professor at CIDESI (Mexico). He has thirty years of automotive and defense engineering experience. He received a BS (Metallurgical Engineering) from the Ohio State University, an MBA from the University of Michigan, and an MS (Product Development) from the University of Detroit Mercy. Michael has presented at National Defense Industrial Association, International Council on Systems Engineering, and American Society for Engineering Education regional and international conferences. He is a regular speaker at the No Magic World Symposium. Michael has contributed chapters to Industrial Applications of X-ray Diffraction, Taguchi’s Quality Engineering Handbook, and Case Studies in System of Systems, Enterprise Systems, and Complex Systems Engineering;he also contributed a case study to the Systems Engineering Body of Knowledge (SEBoK). He is a licensed Professional Engineer (Michigan) and holds INCOSE ESEP-Acq, OCSMP: Model Builder – Advanced, Booz Allen Hamilton Systems Engineering Expert Belt, ASQ Certified Quality Engineer, and ASQ Certified Reliability Engineer certifications. He is a Fellow of the Engineering Society of Detroit, the President and Founder of Sigma Theta Mu, the systems honor society, and the current Treasurer of INCOSE.