Systems Engineering in the Digital Age: Practitioner Perspectives
- 18h 40m
- Dinesh Verma
- John Wiley & Sons (US)
- 2023
Systems Engineering for the Digital Age
Comprehensive resource presenting methods, processes, and tools relating to the digital and model-based transformation from both technical and management views
Systems Engineering for the Digital Age: Practitioner Perspectives covers methods and tools that are made possible by the latest developments in computational modeling, descriptive modeling languages, semantic web technologies, and describes how they can be integrated into existing systems engineering practice, how best to manage their use, and how to help train and educate systems engineers of today and the future. This book explains how digital models can be leveraged for enhancing engineering trades, systems risk and maturity, and the design of safe, secure, and resilient systems, providing an update on the methods, processes, and tools to synthesize, analyze, and make decisions in management, mission engineering, and system of systems.
Composed of nine chapters, the book covers digital and model-based methods, digital engineering, agile systems engineering, improving system risk, and more, representing the latest insights from research in topics related to systems engineering for complicated and complex systems and system-of-systems. Based on validated research conducted via the Systems Engineering Research Center (SERC), this book provides the reader a set of pragmatic concepts, methods, models, methodologies, and tools to aid the development of digital engineering capability within their organization.
Systems Engineering for the Digital Age: Practitioner Perspectives includes information on:
- Fundamentals of digital engineering, graphical concept of operations, and mission and systems engineering methods
- Transforming systems engineering through integrating M&S and digital thread, and interactive model centric systems engineering
- The OODA loop of value creation, digital engineering measures, and model and data verification and validation
- Digital engineering testbed, transformation, and implications on decision making processes, and architecting tradespace analysis in a digital engineering environment
- Expedited systems engineering for rapid capability and learning, and agile systems engineering framework
Based on results and insights from a research center and providing highly comprehensive coverage of the subject, Systems Engineering for the Digital Age: Practitioner Perspectives is written specifically for practicing engineers, program managers, and enterprise leadership, along with graduate students in related programs of study.
About the Author
Dinesh Verma is the Executive Director of the Systems Engineering Research Center (SERC), the first University Affiliated Research Center established by the DoD for Systems Engineering Research. He is also a Professor in Systems Engineering at Stevens Institute of Technology as well as the Scientific Advisor to the Director of the Embedded Systems Institute in Eindhoven, Holland. He is a Fellow of INCOSE and Senior Member of SOLE.
In this Book
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List of Contributors
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Acronyms
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Fundamentals of Digital Engineering
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Mission and Systems Engineering Methods
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Transforming Systems Engineering Through Integrating Modeling and Simulation and the Digital Thread
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Digital Engineering Visualization Technologies and Techniques
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Interactive Model‐Centric Systems Engineering
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Systems Engineering Transformation Through Digital Engineering
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Measuring Systems Engineering Progress Using Digital Engineering
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Digital Engineering Implications on Decision‐Making Processes
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Expedited Systems Engineering for Rapid Capability
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Scaling Agile Principles to an Enterprise
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System Behavior Specification Verification and Validation (V&V)
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Digital Engineering Transformation: A Case Study
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A Landscape of Trades: The Importance of Process, Ilities, and Practice
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Architecting a Tradespace Analysis Framework in a Digital Engineering Environment
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Set‐Based Design: Foundations for Practice
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Exploiting Formal Modeling in Resilient System Design: Key Concepts, Current Practice, and Innovative Approach
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Augmented Intelligence: A Human Productivity and Performance Amplifier in Systems Engineering and Engineered Human–Machine Systems
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Complexity and Risk in Systems Engineering
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Technical Debt in the Engineering of Complex Systems
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Risk and System Maturity: TRLs and SRLs in Risk Management
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Managing Risk
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Concepts of Trust and Resilience in Cyber-Physical Systems
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Introduction to STPA‐Sec
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The “Mission Aware” Concept for Design of Cyber‐Resilience
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The “FOREST” Concept and Meta‐Model for Lifecycle Evaluation of Resilience
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The Cyber Security Requirements Methodology and Meta‐Model for Design of Cyber‐Resilience
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Implementation Example: Silverfish
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Unique Challenges in System of Systems Analysis, Architecting, and Engineering
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System of Systems Analytic Workbench
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Computational Intelligence Approach to SoS Architecting and Analysis
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Unique Challenges in Mission Engineering and Technology Integration
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Reference Architecture: An Integration and Interoperability‐Driven Framework
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Mission Engineering Competency Framework
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Central Challenges in Modeling and Analyzing Enterprises as Systems
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Methods for Integrating Dynamic Requirements and Emerging Technologies
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Portfolio Management and Optimization for System of Systems
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Assessing Benefits of Modularity in Missions and System of Systems
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Using the Systems Engineering Body of Knowledge (SEBoK)
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Understanding Critical Skills for Systems Engineers
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Evolving University Programs on Systems Engineering
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Evolving University Programs for the Other 95% of Engineers: A Capstone Marketplace
