Systems Engineering for the Digital Age : Practitioner Perspectives

Systems Engineering for the Digital Age Practitioner Perspectives

Detalles Bibliográficos
Otros Autores: Verma, Dinesh, 1964- editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley [2024]
Edición:First edition
Materias:
Systems engineering.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009769034906719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • List of Contributors
  • Preface
  • Acknowledgment
  • Acronyms
  • About the Companion Website
  • Part I Transforming Engineering Through Digital and Model-Based Methods
  • Chapter 1 Fundamentals of Digital Engineering
  • Background
  • Surrogate Pilot Experiment Called Skyzer
  • Problem
  • New Approach
  • Skyzer Pilot Context
  • Results
  • NAVAIR and Skyzer
  • Interoperability and Integration Framework (IoIF)
  • Related Chapters
  • Chapter 2: Mission and Systems Engineering Methods
  • Chapter 3: Transforming Systems Engineering Through Integrating M&amp
  • S and Digital Thread
  • Chapter 4: Digital Engineering Visualization Technologies and Techniques
  • Chapter 5: Interactive Model-Centric Systems Engineering
  • Future Work
  • Notes
  • References
  • Biographical Sketches
  • Chapter 2 Mission and Systems Engineering Methods
  • Problem
  • Background
  • New Approach
  • Skyzer Surrogate Pilot Experiment
  • OpenMBEE, DocGen, and View Editor
  • NAVSEM
  • Model Management and Modularization
  • Digital Signoff
  • How to Create Digital Signoffs
  • Multidisciplinary Design Analysis and Optimization (MDAO)
  • Collaborative Management of Research Projects in SysML
  • Ontologies
  • Results
  • Application of DE Metrics to Skyzer Pilot Lessons Learned
  • Future Work
  • Notes
  • References
  • Biographical Sketches
  • Chapter 3 Transforming Systems Engineering Through Integrating Modeling and Simulation and the Digital Thread
  • Introduction
  • Background and Motivating Use Case
  • Integration Methodology
  • Digital Engineering Framework for Integration and Interoperability
  • Reasoning and Rules
  • Assessment Flow Diagram
  • Interoperability and Integration Framework
  • Discussion
  • Conclusion
  • Future Expansion
  • Final Thoughts
  • Notes
  • References
  • Biographical Sketches.
  • Chapter 4 Digital Engineering Visualization Technologies and Techniques
  • Problem
  • Background
  • Operational Concepts
  • Gaming Engines
  • Early Research into Graphical CONOPs
  • IoIF Ontology-Based Decision Framework
  • New Approach
  • Semantic DE Environment with Digital Thread Visualizations
  • Impact Analysis
  • Composing the Visualization
  • Passing Results Back to IoIF
  • Decision Support Dashboard
  • Results
  • Workflows
  • IoIF-Enabled Dashboards
  • Graphical CONOPs
  • Eliciting Requirements Using Graphical CONOPs
  • Future Work
  • References
  • Biographical Sketches
  • Chapter 5 Interactive Model-Centric Systems Engineering
  • Introduction
  • Background
  • Motivation
  • Selected Highlights of IMCSE Research
  • Model-Centric Decision-Making and Trust
  • Multi-Stakeholder Negotiation Through Models
  • Model Choice and Trade-off
  • Model Curation
  • Summary
  • Note
  • References
  • Biographical Sketches
  • Part II Executing Digital Engineering
  • Chapter 6 Systems Engineering Transformation Through Digital Engineering
  • Systems Engineering Transformation
  • Systems Trends
  • Transformation of Systems Engineering
  • Systems Engineering Gap Analysis
  • Systems Engineering Framework
  • Value, Project, and Environment Attributes
  • Attribute Impact
  • Summary of Gap and Opportunity Areas
  • Transformation Through Digital Engineering
  • Foundation of Digitalization
  • New Paradigm for Systems Engineering
  • Innovation Objectives and Philosophy
  • Digital Transformation Concept
  • Digital Capabilities
  • Epilogue
  • The End State
  • The Old Model
  • The Challenge
  • Critical Insights
  • The Change
  • Conclusion
  • References
  • Biographical Sketches
  • Chapter 7 Measuring Systems Engineering Progress Using Digital Engineering
  • Motivation
  • The Benefits of DE
  • Realizing the Benefits
  • Measuring DE Activities.
  • DE/MBSE Should Reduce Errors and Cycle Time
  • DE/MBSE Will Improve Functional Completeness and Correctness
  • Model-Based Review Artifacts Will Improve Efficiency
  • Reduced Cost Is a Lagging Indicator
  • Causal Analysis of DE/MBSE Benefits and Adoption Approaches
  • Linking to Systems Engineering Metrics
  • Summary
  • Note
  • References
  • Biographical Sketches
  • Chapter 8 Digital Engineering Implications on Decision-Making Processes
  • Introduction
  • Define Problem
  • Relevant Background
  • New Approaches to Decision Process
  • Augmenting the Decision Process with Digital Technology
  • Technical Improvements to Digital Twin
  • Models of Decision-Making
  • Conceptual System
  • Future Work
  • Acknowledgements
  • References
  • Biographical Sketches
  • Chapter 9 Expedited Systems Engineering for Rapid Capability
  • Introduction
  • Methodology
  • Findings/Analysis
  • Direct Responses for Organizational Best Practices (Group 1)
  • Direct Observations for Rapid Best Practices (Group 2)
  • Inferred Organizational Characteristics for "Go Fast" Cultural Best Practices (Group 3)
  • Conclusions and Future Research
  • References
  • Biographical Sketches
  • Chapter 10 Scaling Agile Principles to an Enterprise
  • Introduction
  • The Challenge
  • Why Agile and Dev*Ops?
  • Scaling Agile
  • Agile and DevSecOps Review
  • Challenges with Scaling Agile
  • Internal Dependencies, External Dependencies, and the Need for Some Up-Front Engineering - Understanding the Complexity of the Enterprise
  • Sprint Teams and Structure
  • Minimum Viable Products (MVPs), Minimal Marketable Products (MMPs), Sprints, and Increments
  • Recommendations
  • No Single Approach Addresses All Systems
  • Increment Planning
  • Focus on MVP/MMPs
  • Up-Front Requirements Decomposition and Initial Systems Engineering
  • Tailoring of Tools
  • Contract Incentives
  • Near Operational Environments.
  • Scrum vs. Kanban
  • Understand the Change Request Process
  • Need for On-Boarding Training
  • Get Licensing and IP Issues Resolved as Early as Possible
  • Project Owner and Communicating with Other Teams
  • Project Team Capacity Planning
  • Working Groups
  • Conclusion
  • Acknowledgments
  • References
  • Biographical Sketches
  • Chapter 11 System Behavior Specification Verification and Validation (V&amp
  • V)
  • Introduction
  • Background
  • Monterey Phoenix
  • Emergent Behavior Analysis
  • Search and Rescue Examples
  • Select the Behavior Model to V&amp
  • V
  • Prepare Models for V&amp
  • V
  • Expand the Model with Alternative Flows
  • Probe the Model for Emergent Behaviors
  • Conclusions
  • References
  • Biographical Sketches
  • Chapter 12 Digital Engineering Transformation: : A Case Study
  • Case Study of Digital Engineering from Scratch: a DoD and JPEO Journey
  • Understanding the Needs
  • Tailoring Products for User's Needs
  • State-of-the-Art in Digital Transformation and "Clash with Reality"
  • Digital Engineering Transformation and Directives (DE for AM)
  • Additive Manufacturing - Technical Analysis: Additive Manufacturing (AM) vs. Traditional Manufacturing (TM)
  • Additive Manufacturing - Management/Other JPEO-Specific Considerations
  • What Can DE Do for JPEO?
  • What Does JPEO Need to Do to Prepare for DE in AM?
  • Lessons Learned: How to Evaluate Digital Transformation
  • The Path Forward
  • Acknowledgments
  • References
  • Biographical Sketches
  • Part III Tradespace Analysis in a Digital Engineering Ecosystem - Context and Implications
  • Chapter 13 A Landscape of Trades: The Importance of Process, Ilities, and Practice
  • Levels of Trades
  • Defense Enterprise Levels of Concern
  • System Design and Development Analytics
  • Mission and Operational Effectiveness
  • Common Challenges
  • System Qualities: The Nonfunctional Requirements.
  • Ontology Foundations and Application
  • Synergies, Conflicts, and Architecture Analysis
  • Value and Affordability
  • Mission and Operational Trades in Context
  • Character of Mission and Operational Considerations
  • Role of M&amp
  • S in Operational Tradespace Data Creation and Analysis
  • Future Systems: New Methods of Design, Evaluation, and Relation to Trades
  • Discussion and Conclusion
  • References
  • Biographical Sketches
  • Chapter 14 Architecting a Tradespace Analysis Framework in a Digital Engineering Environment
  • Introduction
  • The Hierarchy of Meaning
  • Elements of a Digital Engineering Tradespace Analysis Framework
  • Considerations in the Design
  • Questions to Be Answered
  • Measures of Success
  • Users
  • Demonstrate Value Then Build in Robustness
  • Analytical Workflow with DETAF
  • Workflow Assumptions
  • Workflow Overview
  • Lesson Learned
  • What Has Led to a Successful DETAF
  • Software Scoping
  • Trade Between Model Fidelity and Cost
  • Key Takeaways
  • Stakeholder Involvement
  • Iteration
  • Outcomes
  • References
  • Biographical Sketches
  • Chapter 15 Set-Based Design: Foundations for Practice
  • What Is Set-Based Design?
  • The Set-Based Design Difference
  • When to Use Set-Based Design
  • Knowledge Development
  • Relation to Development Phase
  • Stakeholder Preferences and Requirements Assessment
  • Increasing Knowledge Through Testing
  • Design Alternative Analysis Methods and Metrics
  • Stakeholder Preferences and Valuation
  • Selecting Alternatives on the Basis of Value and Relation to Pareto Optimality
  • Evaluation Based on Risk and Resilience within the SBD Process
  • Conclusion and Discussion
  • References
  • Biographical Sketches
  • Chapter 16 Exploiting Formal Modeling in Resilient System Design: Key Concepts, Current Practice, and Innovative Approach
  • Introduction
  • Problem Statement and Enabling Methods.
  • Disruptions, Rare Events, and High-Impact Rare Events.

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