Systems engineering in the fourth industrial revolution : big data, novel technologies, and modern systems engineering /: big data, novel technologies, and modern systems engineering. (2020)

• Record Type: Book
• Further Information: Note: Edited by Ron S. Kenett, Robert S. Swarz, Avigdor Zonnenshain.
• Editors: Kenett, Ron; Swarz, Robert S; Zonnenshain, Avigdor
• Contents: Preface xvii List of Contributors xxv 1 Systems Engineering, Data Analytics, and Systems Thinking 1; Ron S. Kenett, Robert S. Swarz, and Avigdor Zonnenshain 1.1 Introduction 2 1.2 The Fourth Industrial Revolution 4 1.3 Integrating Reliability Engineering with Systems Engineering 6 1.4 Software Cybernetics 7 1.5 Using Modeling and Simulations 8 1.6 Risk Management 11 1.7 An Integrated Approach to Safety and Security Based on Systems Theory 13 1.8 Applied Systems Thinking 15 1.9 Summary 17 References 18 2 Applied Systems Thinking 21; Robert Edson 2.1 Systems Thinking: An Overview 22 2.2 The System in Systems Thinking 24 2.3 Applied Systems Thinking 25 2.4 Applied Systems Thinking Approach 26 2.5 Problem Definition: Entry Point to Applied Systems Thinking 27 2.6 The System Attribute Framework: The Conceptagon 29 2.7 Soft Systems Methodology 36 2.8 Systemigram 37 2.9 Causal Loop Diagrams 39 2.10 Intervention Points 40 2.11 Approach, Tools, and Methods – Final Thoughts 41 2.12 Summary 41 References 42 3 The Importance of Context in Advanced Systems Engineering 45; Adam D. Williams 3.1 Introduction to Context for Advanced Systems Engineering 45 3.2 Traditional View(s) of Context in Systems Engineering 47 3.3 Challenges to Traditional View(s) of Context in the Fourth Industrial Revolution 48 3.4 Nontraditional Approaches to Context in Advanced Systems Engineering 51 3.5 Context of Use in Advanced Systems Engineering 60 3.6 An Example of the Context of Use: High Consequence Facility Security 63 3.7 Summary 70 References 72 4 Architectural Technical Debt in Embedded Systems 77; Antonio Martini and Jan Bosch 4.1 Technical Debt and Architectural Technical Debt 78 4.2 Methodology 80 4.3 Case Study Companies 81 4.4 Findings: Causes of ATD 82 4.5 Problem Definition: Entry Point to Applied Systems Thinking 85 4.6 Findings: Long-Term Implications of ATD Accumulation 91 4.7 Solutions for ATD Management 91 4.8 Solution: A Systematic Technical Debt Map 92 4.9 Solution: Using Automated Architectural Smells Tools for the Architectural Technical Debt Map 96 4.10 Solution: Can We Calculate if it is Convenient to Refactor Architectural Technical Debt? 97 4.11 Summary 100 References 101 5 Relay Race: The Shared Challenge of Systems and Software Engineering 105; Amir Tomer 5.1 Introduction 105 5.2 Software-Intensive Systems 107 5.3 Engineering of Software-Intensive Systems 109 5.4 Role Allocation and the Relay Race Principles 110 5.5 The Life Cycle of Software-Intensive Systems 110 5.6 Software-Intensive System Decomposition 114 5.7 Functional Analysis: Building a Shared Software-Intensive Architecture 120 5.8 Summary 127 References 131 5.A Appendix 132 6 Data-Centric Process Systems Engineering for the Chemical Industry 4.0 137; Marco S. Reis and Pedro M. Saraiva 6.1 The Past 50 Years of Process Systems Engineering 138 6.2 Data-Centric Process Systems Engineering 141 6.3 Challenges in Data-Centric Process Systems Engineering 149 6.4 Summary 152 References 154 7 Virtualization of the Human in the Digital Factory 161; Daniele Regazzoni and Caterina Rizzi 7.1 Introduction 162 7.2 The Problem 163 7.3 Enabling Technologies 165 7.4 Digital Human Models 168 7.5 Exemplary Applications 173 7.6 Summary 183 References 1 85 8 The Dark Side of Using Augmented Reality (AR) Training Systems in Industry 191; Nirit Gavish 8.1 The Variety of Options of AR Systems in Industry 191 8.2 Look Out! The Threats in Using AR Systems for Training Purposes 192 8.3 Threat #1: Physical Fidelity vs. Cognitive Fidelity 193 8.4 Threat #2: The Effect of Feedback 194 8.5 Threat #3: Enhanced Information Channels 195 8.6 Summary 196 References 197 9 Condition-Based Maintenance via a Targeted Bayesian Network Meta-Model 203; Aviv Gruber, Shai Yanovski, and Irad Ben-Gal 9.1 Introduction 203 9.2 Background to Condition-Based Maintenance and Bayesian Networks 206 9.3 The Targeted Bayesian Network Learning Framework 212 9.4 A Demonstration Case Study 213 9.5 Summary 221 References 224 10 Reliability-Based Hazard Analysis and Risk Assessment: A Mining Engineering Case Study 227; H. Sebnem Duzgun 10.1 Introduction 227 10.2 Data Collection 229 10.3 Hazard Assessment 231 10.4 Summary 237 References 239 11 OPCloud: An OPM Integrated Conceptual-Executable Modeling Environment for Industry 4.0 243; Dov Dori, Hanan Kohen, Ahmad Jbara, Niva Wengrowicz, Rea Lavi, Natali Levi Soskin, Kfir Bernstein, and Uri Shani 11.1 Background and Motivation 244 11.2 What Does MBSE Need to be Agile and Ready for Industry 4.0? 248 11.3 OPCloud:The Industry 4.0-Ready OPM Modeling Framework 249 11.4 Main OPCloud Features 252 11.5 Software Architecture Data Structure 260 11.6 Development Methodology and Software Testing 262 11.7 Model Integrity 263 11.8 Model Complexity Metric and Comprehension 264 11.9 Educational Perspectives of OPCloud Through edX 266 11.10 Summary 267 References 268 12 Recent Advances Toward the Industrialization of Metal Additive Manufacturing 273; Federico Mazzucato, Oliver Avram, Anna Valente, and Emanuele Carpanzano 12.1 State of the Art 274 12.2 Metal Additive Manufacturing 279 12.3 Industrialization of Metal AM: Roadmap Setup at the ARM Laboratory 287 12.4 Future Work 314 12.5 Summary 315 References 316 13 Analytics as an Enabler of Advanced Manufacturing 321; Ron S. Kenett, Inbal Yahav, and Avigdor Zonnenshain 13.1 Introduction 322 13.2 A Literature Review 323 13.3 Analytic Tools in Advanced Manufacturing 326 13.4 Challenges of Big Data and Analytic Tools in Advanced Manufacturing 330 13.5 An Information Quality (InfoQ) Framework for Assessing Advanced Manufacturing 333 13.6 Summary 335 References 336 13.A Appendix 340 14 Hybrid Semiparametric Modeling: A Modular Process Systems Engineering Approach for the Integration of Available Knowledge Sources 345; Cristiana Rodrigues de Azevedo, Victor Grisales Díaz, Oscar Andrés Prado-Rubio, Mark J.Willis, Véronique Préat, Rui Oliveira, and Moritz von Stosch 14.1 Introduction 346 14.2 A Hybrid Semiparametric Modeling Framework 348 14.3 Applications 352 14.4 Summary 365 Acknowledgments 367 References 367 15 System Thinking Begins with Human Factors: Challenges for the 4th Industrial Revolution 375; Avi Harel 15.1 Introduction 376 15.2 Systems 378 15.3 Human Factors 380 15.4 Human Factor Challenges Typical of the 3rd Industrial Revolution 387 15.5 Summary 408 References 409 16 Building More Resilient Cybersecurity Solutions for Infrastructure Systems 415; Danie l Wagner 16.1 A Heightened State of Vulnerability 415 16.2 The Threat is Real 416&
• Publisher Details: Hoboken, NJ : Wiley
• Publication Date: 2020
• Extent: 1 online resource (xxviii, 622 pages)
• Subjects: 620.001/1; Systems engineering; Systems engineering; Electronic books
• Languages: English
• ISBNs: 9781119513940; 1119513944; 9781119513926; 1119513928; 9781119513957; 1119513952
• Related ISBNs: 9781119513896; 1119513898
• Notes: Note: Includes bibliographical references and index.; Note: Description based on online resource; title from digital title page (viewed on January 22, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.