Complex Systems Design & Management (eBook)

Preface 5
Introduction 5
Why a CSD& M Conference?
Our Core Academic---Industrial Dimension 6
The 2015 Edition 7
Conference Organization 8
Conference Chairs 8
Program Committee 8
Organizing Committee 9
Acknowledgments 12
Contents 14
Part I Regular Papers 18
1 Lessons Learnt in System Engineering for the SESAR Programme 19
Abstract 19
1 Introduction 20
1.1 SESAR Programme Objectives 20
1.2 System Engineering Management in SESAR 1 21
2 Lessons Learnt from the SESAR 1 Programme 22
2.1 Granularity 24
2.2 Strategic Information Management 24
2.3 System Engineering Data Management 25
2.4 Maturity Monitoring 26
2.5 Release Approach for Delivering SESAR Solutions 29
3 Applicability to Other Large Scale Systems 31
4 Conclusion 32
References 33
2 Co-Engineering: A Key-Lever of Efficiency for Complex and Adaptive Systems, Throughout Their Life Cycle 34
Abstract 34
1 Introduction 35
1.1 The Main Features of Thales Group 35
1.2 The Genesis of Co-Engineering Within Thales 36
2 Co-Engineering Definition and Principles 38
2.1 The Stakes 38
2.2 Basic Definitions 39
2.3 Main Principles 40
3 When and How to Practice Co-Engineering? 46
3.1 The Co-Engineering Implementation Criteria 46
3.2 Typical Scenarios for Co-Engineering Implementation 46
4 Conclusion 49
References 51
3 Simplification Principles in the Design of Cyber-Physical System-of-Systems 53
Abstract 53
1 Introduction 53
2 Simplicity 55
3 Relied-Upon Interfaces 56
3.1 Information Versus Data 57
3.2 Interface Types 57
3.3 Interface Placement 58
3.4 Interface Model 59
4 State Management 59
4.1 Definition of State 60
4.2 Stateless Versus Statefull Services 60
5 Faults Are Normal 61
5.1 Fault-Containment and Error Detection 61
5.2 Independent Monitoring System (IMS) 62
6 Simplification Principles 63
7 Conclusion 64
Acknowledgments 64
References 65
4 System Readiness Assessment (SRA) a Vade Mecum 66
Abstract 66
1 Introduction 66
2 Metrics 68
2.1 Technology Readiness Level (TRL) 69
2.2 Integration Readiness Level (IRL) 71
2.3 System Readiness Metrics 71
3 The SRA Process 73
4 A Walk Through System Readiness Analysis 76
4.1 Sample Calculations 76
4.2 Results and Interpretation 77
5 Guidelines for Successful Implementation of the SRA Process 80
6 Conclusion 80
References 81
5 Designing and Integrating Complex Systems: Be Agile Through Liveness Verification and Abstraction 82
Abstract 82
1 Introduction 82
2 The Architectural Paradigms 84
3 The Use of Liveness and Abstraction as a Design Guideline 87
3.1 Model Abstraction 88
3.2 Liveness Analysis 90
4 IDCM: Incremental Development of Compliant Models 91
5 Conclusion 93
References 93
6 Model-Driven IVV Management with Arcadia and Capella 95
Abstract 95
1 Introduction 95
2 Limits of a Sole Requirement-Based Integration, Verification, Validation 96
3 Introducing Arcadia and Capella 98
4 Model-Based Traceability/Justification Links Definition 99
5 Building an IVV Strategy 101
6 Day to Day IVV Activities Model-Based Support 103
7 Future Work 104
8 Conclusion 105
References 106
7 How to Make Sure the System Level Conformity Assessment: Case of Japanese Consortia in Automotive Communication Protocol 107
Abstract 107
1 Introduction 107
2 Standardization of Protocols 108
2.1 The Distributed Cooperative Control 108
2.2 Standardization of FlexRay 109
3 Conformance Test Specifications of FlexRay 110
3.1 The Experience of CAN 110
3.2 The Feature of CTSpec of FlexRay 111
3.3 The CTSpec Setting Process at JasPar 112
4 The Co-operation Mechanism at JasPar 113
4.1 The Vertical Co-operation for Component-Level Interoperability 114
4.2 The Horizontal Co-operation for System-Level Interoperability 115
5 Conclusion 116
References 117
8 Analysis of Implementation of Care Coordination in a Multi-level Care Provider Organization: A Need for Systems Approaches 118
Abstract 118
1 Introduction 118
2 Context and Literature Review: Care Coordination 119
2.1 Care Coordination 119
2.2 French Context for Cancer Care Coordination 120
3 Methods 121
4 Materials and Results 121
4.1 Qualitative Study: Process Design and Implementation 121
4.2 Quantitative Study: Current Situation in the Hospital 123
5 Discussion 125
5.1 Global Project and Local Specificities 125
5.2 Strengths and Limitations 127
5.3 Future Developments 128
References 128
9 Computational Intelligence Based Complex Adaptive System-of-System Architecture Evolution Strategy 130
Abstract 130
1 Introduction 131
2 FILA-SoS Integrated Model Variables and Parameters 133
3 Meta-Architecture Generation 134
4 SoS Meta-Architecture Negotiation 137
5 Concluding Remarks 141
Acknowledgment 141
References 141
10 How Do Architects Think? A Game Based Microworld for Elucidating Dynamic Decision-Making 144
Abstract 144
1 Introduction 144
2 Microworlds to Study DDM 145
3 Game Based Micro World 145
4 Game Analytics 149
5 Conclusion 152
Acknowledgments 153
References 153
11 EMI: Engineering and Management Integrator 154
Abstract 154
1 Introduction 155
2 EMI Mathematical Foundation and Methodology 156
2.1 Project Time Management for Architectural Optimization 156
2.2 AO-MRCPSP in Architectural Optimization 159
2.3 EMI Methodology 160
3 Demonstration of EMI Methodology 161
3.1 SE and PM Tools 161
3.2 EMI Use Case with Doors Management System 162
4 Summary 165
References 165
12 Property Model Methodology: A First Application to an Operational Project in the Space Domain 167
Abstract 167
1 Introduction 167
2 PMM: Goals, Processes and Concepts 168
2.1 PMM Specification Process and Specification Models 170
2.2 PMM Design Process, Design Models and System Verification 171
3 The Application: PEPS System Modeling 172
3.1 Description of the PEPS System 172
3.2 PMM Application Context and Goals 172
3.3 PBRs Determination and PBRs Validation 174
3.4 PEPS System Verification 178
4 Conclusion: Lessons Learnt and Future Works 178
References 179
13 A Model-Driven Approach to Enable the Distributed Simulation of Complex Systems 180
Abstract 180
1 Introduction 181
2 The MONADS Method 182
3 Reference Example 185
4 Method Application 185
4.1 SysML Modeling 185
4.2 From SysML to HLA-Based UML 186
4.3 From HLA-Based UML to DKF-Based Code 188
5 Related Work 189
6 Conclusions 191
References 191
14 Maintenance as a Cornerstone for the Application of Regeneration Paradigm in Systems Lifecycle 193
Abstract 193
1 Introduction 193
2 Regeneration Concept 195
2.1 Natural Regeneration 195
2.2 Industrial Regeneration 196
3 Product Lifecycle 198
3.1 Closed-Loops 199
3.2 Example: Washing Machine 200
4 Managing Nutrients 200
4.1 Definitions 201
4.2 Elements to Identify Types of Nutrient 201
4.3 Types of Nutrient 202
5 Discussion---Conclusion 204
References 205
15 A Case Study of Applying Complexity Leadership Theory in Thales UK 206
Abstract 206
1 Introduction 206
1.1 The Problem Situation 207
2 Complexity Leadership Theory 208
2.1 Applying Complexity Leadership Research 208
3 Research Design 209
3.1 Case Study 1 210
3.2 Case Study 2 212
4 Analysis 215
5 Discussion 216
6 Conclusion 217
Acknowledgments 217
References 217
16 A NAF-Based Proposition to Leverage System Engineering Change Management in Systems-of-Systems Acquisition Project Teams 219
Abstract 219
1 Introduction 219
2 Earned Value Expected from Using the NATO Architecture Framework (NAF) into Our Approach 221
3 Description of the Approach 222
3.1 Step 1: Incorporating Data from Domain Specific Works 222
3.2 Step 2: Building Synergies Between Engineering Processes Through the NAF-Based Technical Oriented Referential 226
3.3 Step 3: Performing Architectural Analyses and Providing Deliverables to Initial Contributors Through NAF Views 227
3.4 Step 4: Providing Global Analyses Results to Decision-Makers 228
4 Use Cases for the Approach 230
4.1 Coordinating Operational Scenario Analysis and Functional Analysis 230
4.2 Studying Dependability---Functional Performances Trade-Offs 231
4.3 Design-to-Need Justification Through Client---Supplier Relation 232
4.4 Cost-Constrained Trade-off Analysis Through Client---Supplier Dialog 232
4.5 Collecting Design Guidelines Through Explorative Engineering 233
5 Case Study 233
6 Conclusion 235
References 235
17 System Engineering Applied on Electric Power System for PHEV Applications 236
Abstract 236
1 Introduction 236
2 System and Systemic Analysis Grid 237
2.1 Notion of System 237
2.2 Systemic Analysis Grid 238
3 Electric Power System (EPS) Overview 239
3.1 EPS Environment 239
3.2 EPS Purpose, Missions and Objectives 239
4 Systemic Analysis of the EPS 240
4.1 Operational View 240
4.2 Functional View 242
4.3 Logical View 245
5 Practical Lesson's Learned 247
6 Conclusion 248
References 248
18 Operational Analysis of Virtual IP Multimedia Subsystem (IMS) Through a Model-Based Architectural Framework 249
Abstract 249
1 Introduction 250
2 Preliminary Background 251
2.1 Virtual IMS Brief Context: Axes of Complexities 251
2.2 Motivation of Our Approach 253
2.2.1 Why an Architectural Framework? 254
2.2.2 Why Model-Based Based Systems Engineering? 254
3 Operational Analysis 255
3.1 Virtual IMS Environment Modeling 255
3.1.1 Identification of Stakeholders 255
3.1.2 Analysis and Refinement of Needs 256
3.2 Operational Analysis Core 257
3.2.1 Operational Contexts 257
3.2.2 Operational States 259
3.2.3 Operational Scenarios 259
4 Results and Perspectives Discussion 259
5 Conclusion 260
References 260
19 Urban Lifecycle Management: System Architecture Applied to the Conception and Monitoring of Smart Cities 262
Abstract 262
1 Ancient Cities Were Smart 263
1.1 What Is an Urban Ecosystem? 263
2 The Global Framework: Urban Lifecycle Management00A9 266
3 A Research Program: The Rationale for Urban Lifecycle Management (ULM) 268
3.1 Strategic Analysis 268
3.2 Inventorying the Building Blocks 268
3.3 Integrating the Ecosystem 269
4 Smart Government, the Keystone of Smart Cities 271
References 273
20 Designing Systems with Adaptability in Mind 275
Abstract 275
1 Introduction 275
2 Modeling Issue Discussions 277
3 New Design Process 279
4 Conclusion 281
References 282
Part II Posters 283
21 Analysis of the INCOSE Rules for Writing Good Requirement in Industry: A Tool Based Study 284
Abstract 284
22 Implementing Model Semantics and a (MB)SE Ontology in Civil Engineering and Construction Sector 285
Abstract 285
23 E-vehicle Service Architecture for Logistic Systems 286
Abstract 286
24 EGNOS V3: Engineering the Future of GPS and Galileo Augmentation Over Europe 287
Abstract 287
25 Integrating the ISO/IEC 15288 Systems Engineering Standard with the PMBoK Project Management Guide to Optimize the Management of Engineering Projects 288
Abstract 288
26 Taking Handicap into Account: Systemic Features 289
Abstract 289
27 A Feedback Experience on Delta SR: A Smart Tool to Compare Complex SCADE Models 291
Abstract 291
28 A Systems Approach to Improve Performance in Supply Chain: Case Study in a Procurement Process in the Aeronautical Industry 292
Abstract 292
29 CoDA---A Model-Based Platform to Deal with the Inherent Complexity of Automation Systems Development 293
Abstract 293
30 Contingency Factors for Relationships in Complex Product Creation Environments 294
Abstract 294
31 Siting Nuclear Power Plants Incorporating Strategic Flexibility 295
Abstract 295
32 System-Level Modeling and Simulation with Intel CoFluent2122 Studio 297
Abstract 297
33 A Systemic Meta-Model for Socio-Environmental Systems 299
Abstract 299
34 The Smart Door: An Example of System Engineering in Building Industry 300
Abstract 300
35 Architecture Approach for Managing System Complexity Using System Dynamics 301
Abstract 301
36 We Choose MBSE: What's Next? 302
Abstract 302
37 Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves 303
Abstract 303
38 Model Identity Card (MIC) for Simulation Models 304
Abstract 304
39 From City- to Health-Scapes: Multiscale Design for Population Health 305
Abstract 305
40 Erratum to: Designing Systems with Adaptability in Mind 307
Erratum to: Chapter ‘Designing Systems with Adaptability in Mind’ in: G. Auvray et al. (eds.), Complex Systems Design & Management, DOI 10.1007/978-3-319-26109-6_20