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Systems Engineering for the Digital Age
Practitioner Perspectives
Dinesh Verma (Edited by)
9781394203284, Wiley
Hardback, published 21 September 2023
896 pages
25.9 x 18.5 x 3.8 cm, 1.497 kg
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: 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.
List of Contributors xxv Preface xxix Acknowledgment xxxi Acronyms xxxiii About the Companion Website xlv Part I Transforming Engineering Through Digital and Model-Based Methods 1 1 Fundamentals of Digital Engineering 3 2 Mission and Systems Engineering Methods 25 3 Transforming Systems Engineering Through Integrating Modeling and Simulation and the Digital Thread 47 4 Digital Engineering Visualization Technologies and Techniques 69 5 Interactive Model-Centric Systems Engineering 91 Part II Executing Digital Engineering 111 6 Systems Engineering Transformation Through Digital Engineering 113 7 Measuring Systems Engineering Progress Using Digital Engineering 137 8 Digital Engineering Implications on Decision-Making Processes 149 9 Expedited Systems Engineering for Rapid Capability 175 10 Scaling Agile Principles to an Enterprise 201 11 System Behavior Specification Verification and Validation (V&V) 219 12 Digital Engineering Transformation: A Case Study 241 Part III Tradespace Analysis in a Digital Engineering Ecosystem -- Context and Implications 267 13 A Landscape of Trades: The Importance of Process, Ilities, and Practice 269 14 Architecting a Tradespace Analysis Framework in a Digital Engineering Environment 293 15 Set-Based Design: Foundations for Practice 317 16 Exploiting Formal Modeling in Resilient System Design: Key Concepts, Current Practice, and Innovative Approach 339 17 Augmented Intelligence: A Human Productivity and Performance Amplifier in Systems Engineering and Engineered Human--Machine Systems 375 Part IV Evaluating and Improving System Risk 393 18 Complexity and Risk in Systems Engineering 395 19 Technical Debt in the Engineering of Complex Systems 419 20 Risk and System Maturity: TRLs and SRLs in Risk Management 435 21 Managing Risk 463 Part V Model-Based Design of Safety, Security, and Resilience Systems 471 22 Concepts of Trust and Resilience in Cyber-Physical Systems 473 23 Introduction to STPA-Sec 489 24 The "Mission Aware" Concept for Design of Cyber-Resilience 507 25 The "FOREST" Concept and Meta-Model for Lifecycle Evaluation of Resilience 523 26 The Cyber Security Requirements Methodology and Meta-Model for Design of Cyber-Resilience 539 27 Implementation Example: Silverfish 555 Part VI Analytic Methods for Design and Analysis of Missions and Systems-of-Systems 581 28 Unique Challenges in System of Systems Analysis, Architecting, and Engineering 583 29 System of Systems Analytic Workbench 601 30 Computational Intelligence Approach to SoS Architecting and Analysis 637 31 Unique Challenges in Mission Engineering and Technology Integration 665 32 Reference Architecture: An Integration and Interoperability-Driven Framework 683 33 Mission Engineering Competency Framework 697 Part VII Applying Systems Engineering to Enterprise Systems and Portfolio Management 713 34 Central Challenges in Modeling and Analyzing Enterprises as Systems 715 35 Methods for Integrating Dynamic Requirements and Emerging Technologies 729 36 Portfolio Management and Optimization for System of Systems 747 37 Assessing Benefits of Modularity in Missions and System of Systems 775 Part VIII Systems Education and Competencies in the Age of Digital Engineering, Convergence, and AI 789 38 Using the Systems Engineering Body of Knowledge (SEBoK) 791 39 Understanding Critical Skills for Systems Engineers 805 40 Evolving University Programs on Systems Engineering 817 41 Evolving University Programs for the Other 95% of Engineers: A Capstone Marketplace 827 Index 843
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Cesare Guariniello, Payuna Uday, Waterloo Tsutsui, and Karen Marais
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Joel S. Patton and James D. Moreland
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Subject Areas: Electronics & communications engineering [TJ]
