
Complex Systems Design & Management
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This book contains all refereed papers accepted during the ninth edition of the conference that took place at the Cité Internationale Universitaire de Paris on December 18-19, 2018.
Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between forum in Paris dedicated to academic researchers & industrial actors working on complex industrial systems architecture, modeling & engineering.
These proceedings cover the most recent trends in the emerging field of Complex Systems, both from an academic and a professional perspective. A special focus is put on "Products & services development in a digital world".
The CSD&M Paris 2018 conference is organized under the guidance of CESAM Community (http://cesam.community/en). CESAM Community has been developed since 2010 by the non-profit organization CESAMES Association to organize thesharing of good practices in Enterprise and Systems Architecture and to certify the level of knowledge and proficiency in this field through CESAM certification.
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Content
- Intro
- Preface
- Introduction
- Why a CSD&M Conference?
- Our Core Academic-Industrial Dimension
- The 2018 Edition
- Conference Organization
- Conference Chairs
- General Chair
- Organizing Committee Chair
- Program Committee Co-chairs
- Program Committee
- Academic Members
- Sec11
- Sec12
- Industrial Members
- Sec14
- Sec15
- Organizing Committee
- Organizing Committee
- Sec18
- Sec19
- Invited Speakers
- Plenary sessions
- "Methods and Tools" Track
- "Design, Manufacture and Operation of Complex Products and Services" Track
- "Aeronautics" Track
- "Energy" Track
- "Healthcare Services" Track
- "Transportation & Mobility" Track
- Acknowledgements
- Contents
- Regular Papers
- Formal Methods in Systems Integration: Deployment of Formal Techniques in INSPEX
- 1 Introduction
- 2 INSPEX Application Use Cases
- 3 The INSPEX VIB White Cane Use Case
- 4 Formal Modelling and Verification in INSPEX
- 4.1 Power Management Formal Modelling and Verification
- 4.2 The Data Acquisition Pathway
- 5 Discussion and Conclusions
- References
- Ontology-Based Optimization for Systems Engineering
- 1 Introduction
- 2 Prerequesites for an Automated System Design Optimization
- 2.1 The Modeling Planning Process
- 3 Model Variability
- 3.1 Link with the MB2SE Conceptual Data Model
- 4 Fulfilling the Modeling Constraints
- 4.1 Operations Research and Systems Engineering
- 4.2 Local Search Algorithm Tuning Delegation
- 4.3 A Pragmatic Implementation of the Constraint Language
- 4.4 The Ontology-Based Optimization Process
- 5 Example of an Optimization-Based Systems Engineering
- 5.1 Selecting the Applications
- 5.2 Designing the Optimized IT
- 5.3 Optimizing with the HOPEX-LocalSolver Bridge
- 5.4 Performance of the Optimal Solution Search
- 6 Future Work
- References
- On-Time-Launch Capability for Ariane 6 Launch System
- Abstract
- 1 Context and Study Logic
- 2 Delay Risks Identification
- 2.1 Lessons-Learnt
- 2.2 Functional Risk Analysis
- 3 Delay Risk Classification and Selection
- 3.1 Cost Analysis Wrt "Delay Cost and Cost Acceptability"
- 3.2 Major Delay Risk Selection
- 4 Delay Risk Reduction
- 4.1 Mitigation Action to Reduce Delay Risk Occurrence
- 4.2 Mitigation Action to Reduce Delay Risk Severity
- 5 Conclusion and Way Forwards
- References
- Towards a Standards-Based Domain Specific Language for Industry 4.0 Architectures
- 1 Introduction
- 2 Related Work
- 2.1 Domain Specific Architecture Framework
- 2.2 Domain Specific Systems Engineering
- 3 Approach Taken for Transfer
- 3.1 Case Study Design and Requirements
- 3.2 Process Model
- 3.3 Domain Specific Language
- 3.4 Toolbox Implementation
- 4 Application of the Toolbox
- 4.1 Case Study Model
- 4.2 Findings
- 5 Conclusions and Future Work
- References
- Assessing the Maturity of Interface Design
- Abstract
- 1 Introduction
- 2 Design Change Requests Data: Main Characteristics
- 2.1 Available Data and Characteristic Patterns
- 2.2 Potential and Limitations of an Analysis Based on the CGI
- 3 Design Change Request Generation as a Heuristic Measure of Interface Design Maturity
- 3.1 Change Requests and Interface Design Maturity
- 3.2 Procedure to Evaluate the Maturity of Interface Design
- 4 Examples
- 4.1 The Perfect Project
- 4.2 Late Overshoot: End of Design Declared Prematurely
- 4.3 The Flat Project: A Volatile Environment
- 5 Discussion
- References
- Tracking Dynamics in Concurrent Digital Twins
- Abstract
- 1 Introduction
- 2 Digital Twins for Process Control and Analysis
- 2.1 Dynamics: A Challenge for Concurrent Digital Twins
- 2.2 Safeguarding the Digital Twin's Operations
- 3 Detecting Transgressions of a Model's Operational Space
- 3.1 Probability of Findings for Model Fragments
- 3.2 Monitoring Findings with Western Electric Rules
- 4 Tracking for Digital Twin Maintenance
- 5 Industrial Use Case
- 6 Experimental Validation
- 6.1 Successful Localization of Change
- 6.2 Fast and Accurate Detection of Change
- 7 Future Work and Conclusion
- References
- How to Boost the Extended Enterprise Approach in Engineering Using MBSE - A Case Study from the Railway Business
- Abstract
- 1 Introduction
- 1.1 Railways Business OEM, a System Integrator
- 1.2 Railways Business OEM, a System Integrator
- 1.3 Rolling Stock Systems Complexity Growth
- 1.4 Rolling Stock Subsystems Complexity Growth
- 2 Functional Architecture Concept Process and MBSE at Bombardier
- 2.1 Functional Architecture Engineering Process and Modelling Methodology
- 2.2 MBSE Tool Chain and Main Outputs
- 2.3 Deployment Status
- 3 Functional Architecture Concept Process and MBSE at Knorr Bremse
- 3.1 Functional Architecture Engineering Process
- 3.2 Modelling Methodology
- 3.3 Deployment Status
- 4 Rolling Stock Integrator Versus Subsystem Supplier - A Key and Complex Relationship
- 4.1 State of the Art
- 4.2 Extended Enterprise, the Next Generation Supply Management
- 5 The BT-KB MBSE Cycle
- 5.1 The BT-KB Model-Based Systems Engineering Cycle
- 6 Conclusion
- References
- Model-Based System Reconfiguration: A Descriptive Study of Current Industrial Challenges
- Abstract
- 1 Introduction
- 2 State of the Art
- 2.1 Fault Detection, Isolation and Reconfiguration
- 2.2 Configuration Management and System Adaptability
- 2.3 Change Prediction and Propagation in the Conceptual Design and Basic Engineering Phase
- 3 Methodology
- 4 Analysis of Current Industrial Challenges
- 4.1 Data Related Challenges
- 4.2 Modeling Issues
- 4.3 Contracting and Certification
- 4.4 System and Context Taxonomy
- 5 Discussion and Future Work
- 6 Conclusion
- References
- A Domain Model-Centric Approach for the Development of Large-Scale Office Lighting Systems
- Abstract
- 1 Introduction
- 2 Domain Model-Centric Approach
- 2.1 Domain-Specific Languages for System Specification
- 2.2 Aspect Analysis and Virtual Prototyping
- 2.3 System Configuration and Code Generation
- 2.4 Industrial Application
- 3 Office Lighting
- 3.1 Office Lighting Systems
- 4 Application in Office Lighting
- 4.1 Language Modularity
- 4.2 Virtual Prototyping
- 4.3 Generation of Configuration Settings and Code
- 5 Discussion and Conclusions
- Acknowledgement
- References
- Through a Glass, Darkly? Taking a Network Perspective on System-of-Systems Architectures
- Abstract
- 1 Introduction
- 1.1 Prior Work
- 2 Cautioning Network Perspectives on System Architectures
- 2.1 Identification of Important Entities
- 2.2 Evaluating Structure
- 2.3 Network Perturbation
- 2.4 Evaluating Vulnerability to Failure Cascades
- 3 Challenges to Progress
- 4 Conclusion
- References
- Generation and Visualization of Release Notes for Systems Engineering Software
- Abstract
- 1 Introduction
- 1.1 Paper Scope
- 1.2 Addressed Problems
- 1.3 Motivating Example
- 2 Framework to Generate Release Notes
- 2.1 Data Model to Capture Release Notes Building Blocs
- 2.2 Determination of Patterns
- 2.2.1 Empirical Study
- 2.2.2 Study Results: Patterns Identification
- 2.2.3 Model-Based Patterns Discovery Algorithm
- 2.2.4 Implementation
- 3 Related Work
- 4 Conclusion
- References
- Safety Architecture Overview Framework for the Prediction, Explanation and Control of Risks of ERTMS
- Abstract
- 1 Introduction
- 2 Background
- 2.1 State of the Art
- 3 Method
- 4 Results
- 4.1 Top Functionalities
- 4.2 Safety Architecture Overview Framework
- 5 Discussion
- 6 Conclusion
- References
- Formalization and Reuse of Collaboration Experiences in Industrial Processes
- Abstract
- 1 Introduction
- 2 Literature Review
- 2.1 Collaboration Characterization in Industrial Processes
- 2.2 Knowledge Management Applied to Collaboration in Processes
- 3 Experience Feedback Process for Collaboration
- 3.1 Experience Feedback Process
- 3.2 Collaboration Model
- 3.3 Taxonomy of Concepts
- 3.4 Collaboration Experience Building
- 3.5 Collaboration Experience Reuse
- 4 Conclusion
- References
- An MBSE Framework to Support Agile Functional Definition of an Avionics System
- Abstract
- 1 Introduction
- 2 Key Principles of the Proposed Agile MBSE Approach
- 2.1 Capture Intended Behaviors from Input Functional Needs
- 2.2 Define System Functional Interfaces and Top-Level Functions
- 2.3 Define Functional Architecture
- 2.4 Simulation of Scenarios
- 3 Requirements for Agile System Definition and V&V
- 4 Experiments and Discussion
- 4.1 Results
- 4.2 Discussion
- 5 Related Work
- 6 Conclusion
- References
- Analyzing Awareness, Decision, and Outcome Sequences of Project Design Groups: A Platform for Instrumentation of Workshop-Based Experiments
- Abstract
- 1 Introduction
- 2 Research Framework
- 3 Clustering Analysis
- 4 Results Interpretation
- 5 Conclusion
- Acknowledgements
- References
- Systemic Design Engineering
- Abstract
- 1 Background
- 2 Systemic Design Engineering
- 3 Course Curricula
- 3.1 Context - Systems Thinking
- 3.1.1 Systems Perspectives
- 3.1.2 Relationships
- 3.1.3 Dynamics
- 3.1.4 Leverage Points
- 3.2 Human Centricity - Design Thinking
- 3.2.1 Design Thinking Essentials
- 3.2.2 Identifying Opportunities
- 3.2.3 Identifying Customer Needs
- 3.2.4 Preliminary Product Specifications
- 3.3 Realization - Systems and Software Engineering
- 3.3.1 Concept Design
- 3.3.2 Concept of Operations
- 3.3.3 Use Case Scenarios
- 3.3.4 System Requirements
- 3.3.5 Economics and Financial Analysis
- 3.4 Learning Integration
- 4 Pilot Results
- 5 Conclusions and Further Work
- References
- Field Guide for Interpreting Engineering Team Behavior with Sensor Data
- Abstract
- 1 Introduction
- 2 Related Research
- 3 Methods
- 3.1 Taxonomy of Design Process and Experiment
- 3.2 Experimental Framework and Setup
- 3.3 Experimental Case and Procedure
- 3.4 Method for Generating Team Design Walk Narratives
- 4 Results
- 5 Discussion
- 5.1 Lessons Learned
- 6 Conclusion
- References
- A Review of Know-How Reuse with Patterns in Model-Based Systems Engineering
- Abstract
- 1 Introduction
- 2 Challenges and Related Works
- 3 A Little History of Patterns
- 4 Patterns for Systems Engineering
- 5 Patterns for Model-Based Systems Engineering (MBSE)
- 6 Conclusion
- References
- Posters
- The Systems Engineering Concept
- Abstract
- From Document Centric Approach to MBSE Approach: BPMN, UML, SysML and Wire Framing Implementation
- Abstract
- Towards a Better Modelling and Assessment of Project Management Maturity in Industry 4.0
- Abstract
- Integrated Framework for Design and Testing of Software for Automotive Mechatronic Systems
- Abstract
- Complex Systems Engineering Approach for Condition Monitoring for the Digital Transformation: Integration into Mining Industry Control Systems
- Abstract
- Cyber Physical Systems Real Time and Interactive Testing and Governance
- Abstract
- Machine-Executable Model-Based Systems Engineering with Graph-Based Design Languages
- Abstract
- Cyber-Physical System Modeling Using a Case Study
- Abstract
- The SERC 5-Year Technical Plan: Designing the Future of Systems Engineering Research
- Abstract
- Understand Corporate Culture for a Better Steering Model
- Abstract
- Correction to: Systemic Design Engineering
- Correction to: Chapter "Systemic Design Engineering" in: E. Bonjour et al. (Eds.): Complex Systems Design & Management, https://doi.org/10.1007/978-3-030-04209-7_16
- Author Index
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