Recent Trends and Advances in Model Based Systems Engineering

✍ Scribed by Azad M. Madni (editor), Barry Boehm (editor), Daniel Erwin (editor), Mahta Moghaddam (editor), Michael Sievers (editor), Marilee Wheaton (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 709
• Category: Library

✦ Synopsis

This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER). The theme of this volume, “Recent Trends and Advances in Model-Based Systems Engineering,” reflects the fact that systems engineering is undergoing a transformation motivated by mission and system complexity and enabled by technological advances such as model-based systems engineering, digital engineering, and the convergence of systems engineering with other disciplines. This conference is focused on exploring recent trends and advances in model-based systems engineering (MBSE) and the synergy of MBSE with simulation technology and digital engineering. Contributors have submitted papers on MBSE methods, modeling approaches, integration of digital engineering with MBSE, standards, modeling languages, ontologies and metamodels, and economics analysis of MBSE to respond to the challenges posed by 21st century systems. What distinguishes this volume are the latest advances in MBSE research, the convergence of MBSE with digital engineering, and recent advances in applied research in MBSE, including growing convergence with systems science and decision science. This volume is appropriate as a reference text in graduate engineering courses in Model-Based Systems Engineering.

✦ Table of Contents

Preface
Contents
About the Editors
Part I MBSE and Digital Engineering
Toward a Reference Architecture for Digital and Model-Based Engineering Information Systems
1 Introduction
2 Background
3 Proposed Reference Architecture
3.1 System Components
3.2 System Interface
3.3 Data Encoding
4 Example Application Case
4.1 Tradespace Analysis Tool for Constellations (TAT-C)
4.2 System Components
4.3 System Interface
4.4 Data Encoding
4.5 Containerization Configuration
5 Conclusion
References
Digital Engineering Ecosystem for Future Nuclear Power Plants: Innovation of Ontologies, Tools, and Data Exchange
1 Introduction
2 Three Laws of Systems Engineering
3 Development of Digital Engineering Ecosystem for Nuclear Power Design
3.1 Nuclear Design Ontology
3.2 Deployment of Digital Tools
3.3 Integration of Digital Tools
4 Summary and Path Forward
References
Introducing Digital Doppelgängers for Healthcare Policy Analysis
1 Introduction
2 Methodology
2.1 Policy Selection
2.2 Modeling Strategy
3 Model Checking
4 Conclusion
References
Employing Digital Twins Within MBSE: Preliminary Results and Findings
1 Introduction
2 Methodology
3 Preliminary Experiments
4 Implementation
5 Summary
References
A Review of Set-Based Design Research Opportunities
1 Introduction
2 Set-Based Design
2.1 Description
2.2 Benefits
3 A Review of the Current State of Set-Based Design
3.1 Literature Review Methodology
3.2 Description of Author-Provided Keywords
3.3 Analysis of Literature Review Research Areas
4 Discussion on SBD Knowledge Gaps and Future Research Opportunities
5 Conclusion
References
Digital Modernization for Systems Engineering
1 Introduction
2 Background
3 Proposal
4 Discussion and Open Research Challenges
4.1 Cultural Inertia
4.2 Fear of the Unknown
4.3 Lack of Incentives to Change
5 Conclusion
References
Investigating Model Credibility Within a Model Curation Context
1 Introduction
2 Model Curation
3 Model Credibility
3.1 Credibility of Models and Simulations
Assessment of Credibility of Models and Simulations
3.2 Website Credibility
3.3 Recent Research on Model Confidence and Trust
3.4 Recent Research on Overall Credibility
4 Toward Design Guidelines for Model Curation
4.1 Heuristics for Model Curation
5 Conclusion and Further Research
References
Part II Modeling in MBSE
Automated Detection of Architecture Patterns in MBSE Models
1 Introduction
2 Technical Approach
2.1 Architectural Pattern Definitions
2.2 Architecture Parsing
2.3 Architecture Pattern Detection
2.4 Architecture Visualization
3 Results and Discussion
4 Conclusion
References
A Survey of Super-Resolution Techniques for a Potential CubeSat Imagery System Architecture
1 Introduction
2 Single-Image Super-Resolution
3 Multi-image Super-Resolution
4 Applications to CubeSats
5 Conclusion and Future Research
References
Data Analytics of a Honeypot System Based on a Markov Decision Process Model
1 Introduction
2 Methods
2.1 Markov Decision Process
2.2 Algorithms for Solving the Markov Decision Process
3 A Markov Decision Process Model of a Honeypot System
3.1 The MDP Model Structure
3.2 The State Transition Matrix and the Reward Matrix
4 Data Analytics of the Honeypot System and Results
4.1 Data Analytics of the Honeypot System over a Finite Planning Horizon
4.2 Data Analytics of the Honeypot System over an Infinite Planning Horizon
4.3 Data Analytics of the Honeypot System with Various Transition Probability Parameters
4.4 Data Analytics of the Honeypot System with Various Transition Reward Parameters
5 Conclusion and Future Work
References
Probabilistic System Modeling for Complex Systems Operating in Uncertain Environments
1 Introduction
2 Review of Markov Models and Decision Processes
2.1 Markov Models and Hidden Markov Models (HMMs)
2.2 Markov Decision Processes (MDPs)
2.3 Partially Observable Markov Decision Processes (POMDPs)
3 Proposed POMDP and Solution
3.1 Initializing New Hidden States
3.2 N-Step Look-Ahead (Online Policy Estimation Algorithm)
4 An Exemplar POMDP Model
5 Summary and Future Work
References
Identification of Adverse Operational Conditions in Sociotechnical Systems: A Data Analytics Approach
1 Introduction
2 A Concise Literature Review
3 Methodology
3.1 The Data
3.2 The Robust Principal Component Analysis
4 Results and Discussion
5 Conclusion and Future Work
References
Dynamic Causal Hidden Markov Model Risk Assessment
1 Introduction
2 Risk
2.1 Hidden Markov Causality Risk Model
2.2 Assessing Risk
3 Observation Clusters
4 Conclusions and Future Prospects
References
Part III Use of Ontologies in MBSE
Minimum Viable Model to Demonstrate Value Proposition of Ontologies for Model-Based Systems Engineering
1 Introduction
2 Minimum Viable Model (MVM)
3 Ontologies and Metamodels in MVM
4 MVM Modeling Heuristics
5 A Real-World Interoperability Problem
6 Concluding Remarks
References
Ontological Modeling of Time and Time-Based Reasoning for Systems of Systems
1 Introduction
2 Models, Frameworks, and Semantics for Knowledge Representation of Time in Systems of Systems
2.1 Time Modeling in SoS: Need for Semantics and Existing Frameworks
2.2 Description Logics (DL) Semantics
3 A Time-Based Modeling and Reasoning Framework for SOS
3.1 Concepts and Calculus for SoS Time Ontological Modeling and Reasoning
3.2 System Architecture and Description
4 Prototype Implementation in Military-Directed SoS: Eye in the Sky
4.1 Overview
4.2 Illustration of a Simplified Time-Based Reasoning Scenario
5 Conclusion and Future Work
References
Ontology-Enabled Hardware-Software Testbed for Engineering Adaptive Systems
1 Introduction
2 Review of Current Approaches to Engineering Multi-UAV Systems
3 Gaps in Current Approaches
4 Ontology-Enabled Approach
5 Summary and Future Work
References
An Ontology for System Reconfiguration: Integrated Modular Avionics IMA Case Study
1 Introduction
2 Literature Review
3 Overview of the OSysRec Ontology for System Reconfiguration
4 Case Study: Integrated Modular Avionics (IMA)
5 Discussion and Conclusions
References
Reducing Design Rework Using Set-Based Design in a Model-Centric Environment
1 Introduction
2 Background
3 Literature Review
3.1 Procedural Models
4 Conclusion and Future Work
References
Knowledge Representation and Reasoning in the Context of Systems Engineering
1 Motivation and Introduction
2 Knowledge Representation in Systems Engineering
2.1 Epistemic Modal Logic
Syntax for Epistemic Modal Logic
Semantics for Epistemic Modal Logic
3 Descriptive Examples
3.1 State of Knowledge of Single Agent
3.2 State of Knowledge of Multiple Agents
3.3 Evaluation of Inconsistencies
4 Conclusion and Future Work
References
Ontology-Driven Knowledge Modeling and Reasoning for Multi-domain System Architecting and Configuration
1 Introduction
2 System Ontology and Description Logic Semantics Support for Knowledge Representation and Reasoning
2.1 Engineering Systems: Overview and Conceptual Representation
2.2 Knowledge Representation Formalisms and Description Logic (DL) Semantics
2.3 DL Extensions for the Web Ontology Language (OWL)
3 An Ontological Framework for Multi-domain System Architecting and Configuration
3.1 Module 1: Mathematical Foundations
3.2 Module 2: Semantic Platform
3.3 Module 3: System Configurations
4 Prototype Implementation: Knowledge-Driven Design Space Generation for Satellite Robotic Arms
4.1 Overview
4.2 Multi-configuration and Multi-domain Generation of Satellite Robotic Arm Design Alternatives: Prototype
5 Conclusion and Future Work
References
Part IV MBSE Processes and Languages
A Literature Review of the Integration of Test Activities into the Product Development Process
1 Introduction
2 Methodology
2.1 Search Strategy
2.2 Inclusion and Exclusion Criteria
3 Results
3.1 Stage of Product Development
3.2 Test Process Perspective
4 Discussion
4.1 Test Strategy
4.2 Test Objectives
4.3 Test Design
5 Conclusion
Appendix A. Literature Review Study Sources, Evidence Categories and Aims
References
Implementing a MOSA Decision Support Tool in a Model-Based Environment
1 Introduction
1.1 The Modular Open Systems Approach (MOSA)
1.2 Barriers to Achieve MOSA Benefits
2 A Decision Support Framework to Guide MOSA Implementation
2.1 DSF Inputs – Mission Engineering and Early-Stage Acquisition Contexts
2.2 DSF Analysis – Quantitative and Qualitative Analysis Threads
2.3 DSF Outputs – Integrated Decision-Making Views in a Model-Based Environment
3 Implementation Results Using an Example Mission Engineering Problem
3.1 MBSE Views Establishing Mission Context for the DSF
3.2 Identification of Feasible Architectures with RPO
3.3 MBSE Representations of Output Data
4 Summary
4.1 Key Takeaways
4.2 Future Work
A.1 Appendix A: RPO Input Data for Example Mission Engineering Problem
References
Change Management Processes in MBSE
1 Introduction
2 Origin of Changes
3 Current Change Management Methods
4 Using MBSE for Change Management
5 Methodology
6 Case Study
7 Conclusion
References
The Need for Semantic Extension of SysML to Modelthe Problem Space
1 Introduction and Background
2 Theoretical Justification for Semantic Extension
3 Application Example: Operational Scenarios vs System States
3.1 Problem Statement
3.2 System Model Flagged as a Requirement
3.3 Potential Extension of SysML to Model Different Required Operational Conditions in the Problem Space
4 Conclusion
References
Variant Modeling for Multi-perspective, Multi-fidelity Systems Simulation
1 Introduction
2 Literature Review
2.1 MBSE, SysML, and Early PLE
2.2 MBPLE
2.3 SysML and Simulation Modeling
3 Additional Challenges to Variant Management of Simulation Models
4 Overview of Proposed Approach
5 Summary
References
An Executable Systems Modeling Language (ESysML): Motivations and Overview of Language Structure
1 Introduction
2 Motivation and Language Design Goals
3 ESysML: Taxonomy of Primary Concepts
3.1 Overview of Textual Syntax
3.2 Structural Modeling
3.3 Behavioral Modeling
3.4 Simulation Execution and Data Logging
4 Conclusion and Future Directions
References
Quantitative System Reliability and Availability Analysis UsingSysML
1 Introduction
2 Methodology
3 Example
3.1 Using the Abstract Reliability Block
3.2 Reliability/Availability Modeling
3.3 Calculation of Results
4 Conclusions
References
Part V Advances in MBSE
Towards Making the Business Case for MBSE
1 Introduction
2 Approach
2.1 Primary Methodology
2.2 Detailed Approach
2.3 Economic Analysis of Traditional SE Approach
2.4 Economic Analysis of MBSE Approach
2.5 System Life Cycle Processes
2.6 Sequencing System Life Cycle Processes
2.7 Cost Curves for SE Programs with MBSE Approach
2.8 Economic Analysis of MBSE Implementation
2.9 Factors Related to MBSE Investment
2.10 Factors Associated with MBSE Gains
2.11 Assessing MBSE Implementation Benefit
3 Conclusion
References
COSYSMO 3.0's Improvements in Estimating and Methodology
1 Introduction
1.1 COSYSMO 3.0's Improvements
1.2 Review of the Key Elements of COSYSMO 3.0
2 Impact of New Features of COSYSMO 3.0
2.1 Impact of Process Capability as a Scale Factor
2.2 Ensuring the Impact of a Step Is Not Too Large
2.3 Impact of Shifting Emphasis from Cost Drivers Toward Scale Factors
2.4 Comparative Impact of the Four Size Drivers
2.5 Overall Comparison of COSYSMO 3.0 Features Versus Previous Models
3 New Techniques Used in Developing the Model
3.1 Use of Covariance and Ad Hoc Prior Information in Bayesian Computation
3.2 Comparison of Least-Squares Versus Absolute Deviation Model Fitting
3.3 Use of Symmetrical Cost Driver Ratings
References
Assurance Case Property Checking with MMINT-A and OCL
1 Introduction
2 Background
2.1 GSN: Goal Structuring Notation
2.2 ISO 26262 Standard
2.3 MMINT: Model Management INTeractive
2.4 Assurance Case Metamodel
2.5 OCL: Object Constraint Language
2.6 LMS: Lane Management System
3 OCL Constraints for Assurance Cases
4 Conclusions and Future Work
References
Interpretation Discrepancies of SysML State Machine: An Initial Investigation
1 Introduction
2 Interpretation Discrepancies in SysML: Theoretical Insights
2.1 Semantic Vulnerabilities
2.2 Example of Potential Semantic Misinterpretations
3 Interpretation Discrepancies in SysML: Empirical Evidence of State Machines
3.1 Design
3.2 Participants
3.3 Results
4 Conclusion
References
Fuzzy Multicriteria Optimization for System Engineer's Design of Myoelectric Prostheses
1 Introduction and Background
2 Multicriteria Optimization
2.1 Fuzzy TOPSIS Algorithm
3 Application to Prostheses Design
3.1 System Requirements
3.2 Requirement Analysis and Criteria Selection
3.3 Fuzzy TOPSIS Analysis
3.4 System Architecture
References
Functional Decomposition: Evaluating Systems EngineeringTechniques
1 Introduction/Background
2 System Description
2.1 Object Decomposition
3 Functional Decomposition
3.1 Evaluation Method
Evaluation Dimensions
Product Lifecycle Perspectives
3.2 Functional Decomposition by Operating Modes
3.3 Functional Decomposition by Inputs and Outputs
3.4 Functional Decomposition by Hatley-Pirbhai Template
3.5 Functional Decomposition by Processing Rates
3.6 Functional Decomposition by Organizational Structure
3.7 Functional Decomposition by Matching Physical Architecture
4 Recommendations and Conclusions
4.1 Observations by Engineering Role Perspectives
4.2 Recommendation
4.3 Functional Composition
4.4 Conclusions
References
Part VI MBSE Applications
Model-Driven Safety of Autonomous Vehicles
1 Introduction
2 Goal Structuring Notation (GSN)
2.1 A GSN Example
2.2 GSN Benefits
2.3 GSN Challenges
3 Workflow+
3.1 A WF+ Example
3.2 Building Arguments Over a WF+ Example
4 Advantages of WF+ for Model-Based Assurance
4.1 Making Assurance Less Ad Hoc
4.2 Improved Traceability
4.3 Change Impact Analysis
4.4 Integrating Assurance with Development
4.5 Automation
4.6 Templates
5 Conclusion
References
A Model-Based Engineering Approach for Development of ADAS Features
1 Introduction
2 Model-Based Development Approach
2.1 Initial Requirements Development
2.2 SOTIF Scenarios and Triggering Conditions
2.3 Identifying SOTIF Scenario Edge Cases
2.4 MBE Support for Verification and Validation
3 Simulation Framework and Model Capabilities
4 Summary and Discussion
References
Optimal Management and Configuration Methods for Automobile Cruise Control Systems
1 Introduction
2 QoS-Oriented View of ACC System
3 Autonomic Control of In-Vehicle CC
3.1 Optimal Setting of In-Vehicle CC Parameters
3.2 Declarative Specs for Autonomic Control
4 Multi-vehicle Cruise Control (MVC)
4.1 Modeling Aspects of MVC
4.2 Optimal Configuration of MVC System
4.3 Configuration Search Algorithms
4.4 Avatar-Based Benchmarking of MVC System
5 Conclusions
References
A Systems Modeling Illustration of the Military Academy Doolie Cadet System
1 Introduction
2 Background
3 Methodology
4 Results
4.1 Define System Requirements
4.2 Allocate System Functions to Subsystems
4.3 Detail Design of Components
4.4 Verify Components
4.5 Verification of Subsystems
4.6 Full System Operation and Verification
5 Impact
6 Conclusion
References
Project Managers and Systems Engineers, “Can two walk together, unless they agree?”: Recent Research Findings on Development Projects
1 Research Goals
2 Literature Review
3 Methodologies
4 Research Results
5 Discussion
5.1 Overlapping Management Processes Found in the Current Study
5.2 Joint Processes that Failed to Meet the Validity Criteria
6 Conclusions and Recommendations
References
A Plan for Model Curation at the US Army Armaments Center
1 Introduction
2 Digital Engineering at Armaments Center
2.1 MBSE at AC
2.2 iMBE at AC
2.3 InterOperability and Integration Framework (IOIF)
3 Background: Model Curation Literature Review
3.1 Curation
3.2 Definition of Model Curation
3.3 Model Curation Pioneers
3.4 Comparison of Model Governance to Model Curation
4 Model Curation at Armaments Center
4.1 Model Curation Procedure
5 Conclusion and Future Work
References
Executable Modeling of a CubeSat-Based Space Situational Awareness System
1 Introduction
2 Literature Review
2.1 Recent Research on SysML Executable Modeling
2.2 Space Situational Awareness
3 SysML Executable Modeling Methodology
4 Discussion
5 Conclusion
References
Comparing Weighting Strategies for SME-Based Manufacturability Assessment Scoring
1 Introduction
1.1 Value Modeling and Weighting Background
2 Weighting Strategy Background
2.1 SME-Based Normalized Weighting Strategy
2.2 SME-Based Swing Weight Matrix: SME Weighting Methodology
3 Case Study Results
4 Conclusions and Future Work
References
A Framework for Using the MAKE Methodology and Tool for Objective Manufacturability Decision Analysis
1 Manufacturability Assessment Knowledge-Based Evaluation (MAKE) Background
2 MAKE Current Capabilities to Support Tradespace Analysis
2.1 Existing Methodology and Tool Features
2.2 Output Includes List of Prescriptive Measures for Decision-Making
2.3 Reliance upon Subject Matter Experts
2.4 Challenges of Applying MAKE to Early Life Cycle Assessments
3 MAKE 2.0
3.1 The Connection with Tradespace Exploration
3.2 Transitioning from Subjective to Objective Analysis
4 Conclusions
References
A Bioinspired Framework for Analyzing and Predicting the Trade-off Between System of Systems Attributes
1 Introduction
2 ENA, the Degree of System Order, and the Ecological Fitness Function
3 Investigating the Fitness Trends in a Hypothetical Hostiles' Surveillance SoS
3.1 SoS Performance, Cost, and Response to Disruptions
3.2 Degree of System Order of SoS Architectures
4 Results and Discussion
5 Concluding Remarks
References
Model-Based Systems-of-Systems Healthcare: Coordinating the Coordinators
1 Introduction
2 Population Health Context
3 Risk Factor Registry
4 Comprehensive Healthcare Simulation
5 Current Research and Development
5.1 Population Health Management
5.2 Prerequisites for Healthcare Learning System
5.3 Pathways Community HUB
5.4 Risk Registry
6 Davis Global Simulation Center, Omaha, Nebraska
7 Conclusion
References
Model-Based Systems Engineering for CubeSat FMECA
1 Introduction
2 Background
3 MBSE for CubeSat
4 RAM and SE Framework
5 Modeling and FMECA Implementation
6 Discussion
7 Conclusion
References
Model-Based Systems Engineering for Design of Unmanned Aircraft Traffic Management Systems
1 Introduction
1.1 Problem Statement
1.2 Scope and Objectives
2 Background and Literature Review
2.1 Overview of State of the Art of Unmanned Aircraft Traffic Management Systems
2.2 System of Systems: Definition, Typology, and Design Challenges
2.3 Unmanned Aircraft Traffic Management System as a System of Systems
3 Proposed Model-Based Development of UTM Systems
3.1 Development Approaches and Strategies
3.2 Elements of MBSE for UTM System Design
4 Case Study: MBSE of an UTM System for a Package Delivery Service
4.1 Overview
4.2 System-of-Systems Level Design
4.3 System-Level Design
4.4 Physics-Based Modeling and Engineering Analysis
5 Conclusion and Future Work
References
Exploration of MBSE Methods for Inheritance and Design Reuse in Space Missions
1 Introduction and Motivation
1.1 Problem Statement
2 MBSE, Reuse, and the Space Industry
2.1 MBSE and the Space Industry
2.2 MBSE and Reuse
2.3 What Is Missing?
3 Design Reuse via Inheritance
3.1 Technical Inheritance Process
3.2 MBSE Methods for Compatibility Assessments
4 Inheritance and MBSE in Larger Systematic Reuse Strategy
5 Limitations, Future Work, and Conclusions
References
Part VII Future of MBSE
Models in Systems Engineering: From Engineering Artifacts to Source of Competitive Advantage
1 Introduction
2 Models in Engineering
3 Models in Systems Engineering (SE)
4 Models in Model-Based Systems Engineering (MBSE)
5 Growing Importance of Ontologies, Knowledge Graphs, Metamodels, and Reference Models
6 How Have Models Changed over the Last Several Decades?
7 Looking over the Horizon
8 Summary
References
Transdisciplinary Systems Engineering Approaches
1 Introduction
2 Realizing Elegance Through Transdisciplinary Thinking
3 Transdisciplinary Nature of Autonomy and Systems of Systems
4 Storytelling to Understand the Transdisciplinary Nature of System Solutions
5 Importance of Meta-data in Transdisciplinary Systems Engineering
6 Summary and Conclusion
References
A Systems Science Basis for Compositionality Reasoning
1 Introduction
2 Background
3 Systems Concepts
3.1 Systems as Networks of Processes Enabled by Structural Networks
3.2 Levels of Organization
3.3 Planes of Operation
4 Categories of Phenomena to Be Included in Systems Modelling and Compositionality Reasoning
5 SKA Radio Telescope Example
6 Coverage of Systems Science Concepts
7 Conclusion
References
Toward the Design of Artificial Swarms Using Network Motifs
1 Introduction
1.1 Background
1.2 Design Methodology Using Network Motifs
2 Case Study
2.1 The Swarm Foraging System and Simulation
2.2 Modeling the Complex System as a Complex Network
2.3 Obtaining the Network Motif Data of the Simulations
2.4 Determining Important Network Motif Structures
3 Results/Data
3.1 Motif Structure Study
4 Conclusions
References
Enterprise Architecting Applied to Small Unmanned Aircraft System Integration into Low-Altitude Urban Airspace
1 Introduction and Motivation
2 ARIES Framework
3 sUAS Enterprise Landscape
4 Current Architecture
5 A Holistic Vision of the Future
6 Conclusions and Further Research
References
Identification of Elements and Element Relationships for Organizational Architectures for Systems Engineers
1 Introduction
2 Cross-Disciplinary Literature Review
2.1 Sheard and Helix Study
2.2 Role Allocation, Role Conflict, and Ambiguity
2.3 Optimal Allocation Problem
2.4 Span of Control (SoC)
2.5 Organizational Context
3 OASE Elements
4 Mapping Systems Engineers to Organizational Value
5 Summary and Future Work
References
Application and Modelling of Systems Engineering Methods to Deployed Enterprise Content Management Systems
1 Introduction
2 Traditional Systems Engineering Process
3 Differences Between Traditional and Post-deployment Systems Engineering
4 Modified Process
4.1 Overview
4.2 Regional Architecture
4.3 Feasibility Study and Concept Exploration
4.4 Concept of Operations
4.5 System Requirements
4.6 System Design
4.7 Software/Hardware Development and Field Installation
4.8 Unit Testing
4.9 Subsystem Verification
4.10 System Verification and Deployment
4.11 System Validation
4.12 Operations and Maintenance
5 Conclusion
References
Toward an Enterprise Architecture for a Digital Systems Engineering Ecosystem
Nomenclature
1 Introduction
2 The Digital Systems Engineering Ecosystem
3 Object-Process Methodology
4 An Enterprise Architecture of Two MIDSTARs
5 Discussion
References
Collaborative Management of Research Projects in SysML
1 Introduction
2 Project Modeling Approach
2.1 OpenMBEE Environment
2.2 Project Ontology
2.3 Derived SysML Profile
3 Research Project Model in SysML
4 Semantic Representation and Reasoning
5 Discussion and Conclusion
References
Supporting the Application of Dynamic Risk Analysis to Real-World Situations Using Systems Engineering: A Focus on the Norwegian Power Grid Management
1 Introduction
2 Risk Analysis: Original Concepts and Requirements for Dynamic Evolutions
3 Key Dimensions of System Engineering and Contributing Potential to DRA
4 Approach Description
5 Application: Pipeline Construction for Improved Risk Analyses in Power Grid Management – Focus on Vegetation
5.1 Situation Overview
5.2 Proposed Architecture
5.3 Results
6 Discussion and Conclusion
References
Toward a Reliability Approach Decision Support Tool for Early System Design: Physics of Failure vs. Historical Failure Data
1 Introduction
1.1 Specific Contributions
2 Background and Related Work
2.1 Historical Failure Data Approach to Reliability
2.2 Physics of Failure Approach
3 Methodology
3.1 Starting Point: Functional Analysis
3.2 Decision Factor: Relevant Historical Data
3.3 Decision Factor: Level of Complexity
3.4 Decision Factor: Operational Life Requirement
3.5 Decision Factor: Criticality
4 Case Study
5 Discussion
6 Conclusion
References
An Approach to Improve Hurricane Disaster Logistics Using System Dynamics and Information Systems
1 Introduction
2 Background
3 Review of Literature
4 Methodology
4.1 Factors Impacting Post-hurricane Disaster Logistics and Supply Chain Management
5 Discussion and Recommendation
6 Conclusion
References
Index