SPECIFIC RECOMMENDATIONS (TO SYSTEMS ENGINEERING COMMUNITY)
Systems Engineering Contributions to Solving Societal Challenges
Changes Needed
Systems Engineering Contributions to Solving Societal Challenges
Foundational Systems Engineering competencies are integrated into college and pre-college curricula.
Digital engineering methods and tools enable integrated analysis of both technical and non-technical elements.
Systems engineering application is promoted for a broad set of domains and non-technical/socio-technical needs.
Systems engineering serves as an integrator for many engineering and global challenges (such as, sustainability).
Systems engineering is included on agendas for industry and government leadership.
Demonstrate the Value of Systems Engineering
Changes Needed
Systems Engineering Core Competencies are part of individual, team, and enterprise learning.
Digital Engineering transformation integrates systems engineering practices and systems thinking across all disciplines.
Systems engineering is effective across domains, life cycle models, delivery approaches, and solution portfolios.
Strong systems engineering Communities of Practice form within application domains.
Systems engineering demonstrates utility for solutions of any complexity [and integrates both horizontally and vertically].
Addressing Dynamic Change and Uncertainty
Changes Needed
Data standards are developed and adopted enabling effective data interconnection and exchange.
Methods and tools for dealing with product variation and variability are widely adopted.
Knowledge Management and incremental learning are integrated with systems engineering practices.
Systems engineering incorporates dynamic feedback into solutions across the life cycle (such as Agile practices).
Increasing technology assistance for human tasking is incorporated including automated workflows.
MBSE– Digital Transformation
Changes Needed
Use and management of models, architecture, and digital thread mature, including digital twins.
Immersive visualization with modeling and simulation is incorporated.
Trusted digital environments with broad span are established.
Trusted data is managed as an essential asset.
Effective semantic integration of digital assets is applied, including knowledge representation.
MBSE is supported by AI/ML to aid development of solutions.
Analytic Framework for Enhanced System Understanding
Changes Needed
Advanced data science, AI/ ML, augmentation, and visualization are integrated to support analyses for improved understanding of system behavior.
Standards and regulations are integrated in the framework.
Capability to analyze a broader set of elements across the life cycle (such as, sustainability and social acceptability) is developed.
Effective synthesis capabilities are matured, including for systems of systems.
Knowledge is increased of natural systems and how they embody and deal with complexity.
Systems Engineering Adoption of Reuse Practices
Changes Needed
Commonality of practice across a range of systems engineering use cases is understood and applied.
Patterns and unified models that account for variations are established.
Effective reuse practices evolve and become widely applied across domains (Product Line Engineering and Composable Design).
Systems Engineering Tools for Digital Environment
Changes Needed
Focus shifts to data/ information rather than tools.
Consistent artifacts for communication are established.
Modeling language and data interchange standards are developed and used that facilitate information sharing.
Effective distributed information sharing/interchange is common.
Speed and capacity for analyzing alternatives and impacts increases (orders of magnitude).
Foundations and Research
Changes Needed
New principles, phenomena, concepts, heuristics, and technologies are integrated with existing knowledge.
Research to define and validate the systems engineering Theoretical Foundations is launched.
Research on systems engineering practices, tools, and applications that address dynamic change and uncertainty is facilitated.
Industry, government, and associations team with academia to further systems engineering research and incorporate systems engineering foundations into the curriculum.
Systems engineering research encourages cross-disciplinary engagement to move towards integrated approaches.
Advancement of Education
Changes Needed
Enhance workforce via lifelong education/training.
Engineering continuing education and pre-college education integrates select systems engineering concepts and systems thinking into their curricula.
Systems Engineering community and accreditation bodies team to add systems engineering and system concepts into all engineering accreditation criteria.
Non-technical requirements are added to the curricula, such as human dynamics and sustainability.
Challenge-based, hands-on education, and training of integrated methods and approaches evolves.