Utah Engineers Journal 2021 Issue

42 For myself, my understanding was defined as moving from a paper to a virtual three- dimensional environment, as visualized in Figure 2.0. Figure 2.0 Future Model-based System Engineering (Cloud, Integrated, and Collaborative) I worked from the international landscape using definitions from the International Council on System Engineering (INCOSE). 1 INCOSE will be the primary source of these definitions and understanding. I also referred to the Office of the Secretary of Defense Digital Engineering Strategy, 2 System Engineering Research Center, 3 and the Air Force System Engineering Center. 4 After that, I went into open-source literature — the big blue digital galaxy. In keeping with the theme, I highlighted the proposed definitions for the Air Force Digital Campaign guide in blue. Model-based Systems Engineering Feb. 26, 2020: INCOSE defines model-based systems engineering as “the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.” 1 To understand this digital galaxy transformation, we have presented Figures 1.0 and 2.0. Figure 1.0 is system engineering and management from the past. Figure 2.0 moves product lifecycle management into the future model-based digital engineering galaxy (beyond the clouds, the integrated digital environment, and crowd-sourced thinking). Arthur (I) began his (my) journey by getting snatched from earth. I needed definitions to tether me to earth while on my journey. Digital model-based engineering is the use of digital artifacts, digital environments, and digital tools in the performance of engineering functions. 2 For a list of popular MBSE tools, please visit https://mbse4u.com/sysml-tools/. 4 Product Lifecycle Management Using product lifecycle management is not a new concept and has been part of system configuration management and data management processes; however, digital emphasizes the continuity of models across the lifecycle with the mission owner, acquirer, and product development. 2 Product lifecycle management is “a systematic approach to managing the series of changes [and models] that a product goes through, from its design and development to its ultimate retirement or disposal.” 5 Analysis Formalize the development, integration, and use of models to inform enterprise and program decision-making. This support combines model-based systems engineering and product lifecycle management with consistent analysis and decision-making for programs across the enterprise. 2 “ Analysis is the examination of anything complex in order to understand its nature or to determine its essential features.” 6 Figure 1.0 System Engineering Continued from the previous page