Systems Engineering in the Fourth Industrial Revolution

Systems Engineering in the Fourth Industrial Revolution

by Ron S. Kenett, Robert S. Swarz, Avigdor Zonnenshain
Released December 2019
Publisher(s): Wiley
ISBN: 9781119513896

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Book description

An up-to-date guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering

Systems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering offers a guide to the recent changes in systems engineering prompted by the current challenging and innovative industrial environment called the Fourth Industrial Revolution—INDUSTRY 4.0. This book contains advanced models, innovative practices, and state-of-the-art research findings on systems engineering. The contributors, an international panel of experts on the topic, explore the key elements in systems engineering that have shifted towards data collection and analytics, available and used in the design and development of systems and also in the later life-cycle stages of use and retirement. 

The contributors address the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data, models, and algorithms were less involved in the function of the system. The book covers a wide range of topics including five systems engineering domains: systems engineering and systems thinking; systems software and process engineering; the digital factory; reliability and maintainability modeling and analytics; and organizational aspects of systems engineering. This important resource:

  • Presents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systems
  • Explores effective evidence-based risk management practices
  • Describes an integrated approach to safety, reliability, and cyber security based on system theory
  • Discusses entrepreneurship as a multidisciplinary system
  • Emphasizes technical merits of systems engineering concepts by providing technical models

Written for systems engineers, Systems Engineering in the Fourth Industrial Revolution offers an up-to-date resource that contains the best practices and most recent research on the topic of systems engineering.

Table of contents

  1. Cover
  2. What people say about the book
  3. Preface
  4. List of Contributors
  5. 1 Systems Engineering, Data Analytics, and Systems Thinking
    1. Synopsis
    2. 1.1 Introduction
    3. 1.2 The Fourth Industrial Revolution
    4. 1.3 Integrating Reliability Engineering with Systems Engineering
    5. 1.4 Software Cybernetics
    6. 1.5 Using Modeling and Simulations
    7. 1.6 Risk Management
    8. 1.7 An Integrated Approach to Safety and Security Based on Systems Theory
    9. 1.8 Applied Systems Thinking
    10. 1.9 Summary
    11. References
  6. 2 Applied Systems Thinking
    1. Synopsis
    2. 2.1 Systems Thinking: An Overview
    3. 2.2 The System in Systems Thinking
    4. 2.3 Applied Systems Thinking
    5. 2.4 Applied Systems Thinking Approach
    6. 2.5 Problem Definition: Entry Point to Applied Systems Thinking
    7. 2.6 The System Attribute Framework: The Conceptagon
    8. 2.7 Soft Systems Methodology
    9. 2.8 Systemigram
    10. 2.9 Causal Loop Diagrams
    11. 2.10 Intervention Points
    12. 2.11 Approach, Tools, and Methods – Final Thoughts
    13. 2.12 Summary
    14. References
  7. 3 The Importance of Context in Advanced Systems Engineering
    1. Synopsis
    2. 3.1 Introduction to Context for Advanced Systems Engineering
    3. 3.2 Traditional View(s) of Context in Systems Engineering
    4. 3.3 Challenges to Traditional View(s) of Context in the Fourth Industrial Revolution
    5. 3.4 Nontraditional Approaches to Context in Advanced Systems Engineering
    6. 3.5 Context of Use in Advanced Systems Engineering
    7. 3.6 An Example of the Context of Use: High Consequence Facility Security
    8. 3.7 Summary
    9. References
  8. 4 Architectural Technical Debt in Embedded Systems
    1. Synopsis
    2. 4.1 Technical Debt and Architectural Technical Debt
    3. 4.2 Methodology
    4. 4.3 Case Study Companies
    5. 4.4 Findings: Causes of ATD
    6. 4.5 Problem Definition: Entry Point to Applied Systems Thinking
    7. 4.6 Findings: Long‐Term Implications of ATD Accumulation
    8. 4.7 Solutions for ATD Management
    9. 4.8 Solution: A Systematic Technical Debt Map
    10. 4.9 Solution: Using Automated Architectural Smells Tools for the Architectural Technical Debt Map
    11. 4.10 Solution: Can We Calculate if it is Convenient to Refactor Architectural Technical Debt?
    12. 4.11 Summary
    13. References
  9. 5 Relay Race: The Shared Challenge of Systems and Software Engineering
    1. Synopsis
    2. 5.1 Introduction
    3. 5.2 Software‐Intensive Systems
    4. 5.3 Engineering of Software‐Intensive Systems
    5. 5.4 Role Allocation and the Relay Race Principles
    6. 5.5 The Life Cycle of Software‐Intensive Systems
    7. 5.6 Software‐Intensive System Decomposition
    8. 5.7 Functional Analysis: Building a Shared Software‐Intensive Architecture
    9. 5.8 Summary
    10. References
    11. Appendix
  10. 6 Data‐Centric Process Systems Engineering for the Chemical Industry 4.0
    1. Synopsis
    2. 6.1 The Past 50 Years of Process Systems Engineering
    3. 6.2 Data‐Centric Process Systems Engineering
    4. 6.3 Challenges in Data‐Centric Process Systems Engineering
    5. 6.4 Summary
    6. References
  11. 7 Virtualization of the Human in the Digital Factory
    1. Synopsis
    2. 7.1 Introduction
    3. 7.2 The Problem
    4. 7.3 Enabling Technologies
    5. 7.4 Digital Human Models
    6. 7.5 Exemplary Applications
    7. 7.6 Summary
    8. References
  12. 8 The Dark Side of Using Augmented Reality (AR) Training Systems in Industry
    1. Synopsis
    2. 8.1 The Variety of Options of AR Systems in Industry
    3. 8.2 Look Out! The Threats in Using AR Systems for Training Purposes
    4. 8.3 Threat #1: Physical Fidelity vs. Cognitive Fidelity
    5. 8.4 Threat #2: The Effect of Feedback
    6. 8.5 Threat #3: Enhanced Information Channels
    7. 8.6 Summary
    8. References
  13. 9 Condition‐Based Maintenance via a Targeted Bayesian Network Meta‐Model
    1. Synopsis
    2. 9.1 Introduction
    3. 9.2 Background to Condition‐Based Maintenance and Bayesian Networks
    4. 9.3 The Targeted Bayesian Network Learning Framework
    5. 9.4 A Demonstration Case Study
    6. 9.5 Summary
    7. References
  14. 10 Reliability‐Based Hazard Analysis and Risk Assessment: A Mining Engineering Case Study
    1. Synopsis
    2. 10.1 Introduction
    3. 10.2 Data Collection
    4. 10.3 Hazard Assessment
    5. 10.4 Summary
    6. References
  15. 11 OPCloud: An OPM Integrated Conceptual‐Executable Modeling Environment for Industry 4.0
    1. Synopsis
    2. 11.1 Background and Motivation
    3. 11.2 What Does MBSE Need to be Agile and Ready for Industry 4.0?
    4. 11.3 OPCloud: The Industry 4.0‐Ready OPM Modeling Framework
    5. 11.4 Main OPCloud Features
    6. 11.5 Software Architecture Data Structure
    7. 11.6 Development Methodology and Software Testing
    8. 11.7 Model Integrity
    9. 11.8 Model Complexity Metric and Comprehension
    10. 11.9 Educational Perspectives of OPCloud Through edX
    11. 11.10 Summary
    12. References
  16. 12 Recent Advances Toward the Industrialization of Metal Additive Manufacturing
    1. Synopsis
    2. 12.1 State of the Art
    3. 12.2 Metal Additive Manufacturing
    4. 12.3 Industrialization of Metal AM: Roadmap Setup at the ARM Laboratory
    5. 12.4 Future Work
    6. 12.5 Summary
    7. References
  17. 13 Analytics as an Enabler of Advanced Manufacturing
    1. Synopsis
    2. 13.1 Introduction
    3. 13.2 A Literature Review
    4. 13.3 Analytic Tools in Advanced Manufacturing
    5. 13.4 Challenges of Big Data and Analytic Tools in Advanced Manufacturing
    6. 13.5 An Information Quality (InfoQ) Framework for Assessing Advanced Manufacturing
    7. 13.6 Summary
    8. References
    9. Appendix
  18. 14 Hybrid Semiparametric Modeling: A Modular Process Systems Engineering Approach for the Integration of Available Knowledge Sources
    1. Synopsis
    2. 14.1 Introduction
    3. 14.2 A Hybrid Semiparametric Modeling Framework
    4. 14.3 Applications
    5. 14.4 Summary
    6. Acknowledgments
    7. References
  19. 15 System Thinking Begins with Human Factors: Challenges for the 4th Industrial Revolution
    1. Synopsis
    2. 15.1 Introduction
    3. 15.2 Systems
    4. 15.3 Human Factors
    5. 15.4 Human Factor Challenges Typical of the 3rd Industrial Revolution
    6. 15.5 Summary
    7. References
  20. 16 Building More Resilient Cybersecurity Solutions for Infrastructure Systems
    1. Synopsis
    2. 16.1 A Heightened State of Vulnerability
    3. 16.2 The Threat Is Real
    4. 16.3 A Particularly Menacing Piece of Malware
    5. 16.4 Anatomy of An Attack
    6. 16.5 The Evolving Landscape
    7. 16.6 The Growing Threat Posed by Nuclear Facilities
    8. 16.7 Not Even Close to Ready
    9. 16.8 Focusing on Cyber Resiliency
    10. 16.9 Enter DARPA
    11. 16.10 The Frightening Prospect of “Smart” Cities
    12. 16.11 Lessons from Petya
    13. 16.12 Best Practices
    14. 16.13 A Process Rather than a Product
    15. 16.14 Building a Better Mousetrap
    16. 16.15 Summary
    17. References
  21. 17 Closed‐Loop Mission Assurance Based on Flexible Contracts: A Fourth Industrial Revolution Imperative
    1. Synopsis
    2. 17.1 Introduction
    3. 17.2 Current MA Approach
    4. 17.3 Flexible Contract Construct
    5. 17.4 Closed‐Loop MA Approach
    6. 17.5 POMDP Concept of Operations for Exemplar Problem
    7. 17.6 An Illustrative Example
    8. 17.7 Summary
    9. Acknowledgments
    10. References
  22. 18 FlexTech: From Rigid to Flexible Human–Systems Integration
    1. Synopsis
    2. 18.1 Industry 4.0 and Human–Systems Integration
    3. 18.2 HSI Evolution: From Interface to Interaction to Organizational Integration
    4. 18.3 What Does the Term “System” Mean?
    5. 18.4 HSI as Function Allocation
    6. 18.5 The Tangibility Issue in Human‐Centered Design
    7. 18.6 Automation as Function Transfer
    8. 18.7 From Rigid Automation to Flexible Autonomy
    9. 18.8 Concluding Remarks
    10. 18.9 Summary
    11. References
  23. 19 Transdisciplinary Engineering Systems
    1. Synopsis
    2. 19.1 Introduction
    3. 19.2 Transdisciplinary Engineering Projects
    4. 19.3 Introduction to Transdisciplinary Systems
    5. 19.4 Transdisciplinary System
    6. 19.5 Example 1: Online Hearing Aid Service and Service Development
    7. 19.6 Example 2: License Approach for 3D Printing
    8. 19.7 Summary
    9. References
  24. 20 Entrepreneurship as a Multidisciplinary Project
    1. Synopsis
    2. 20.1 Introduction to Entrepreneurship
    3. 20.2 Entrepreneurship as a Project
    4. 20.3 Approaching Change, Risk, and Uncertainty Systematically
    5. 20.4 The Need for a Systemic Transdisciplinary Concept – Conclusions of Case Studies and Experience
    6. 20.5 Assimilating System Concepts in Entrepreneurship Management
    7. 20.6 Overview of Entrepreneurship Elements
    8. 20.7 Summary
    9. References
  25. 21 Developing and Validating an Industry Competence and Maturity for Advanced Manufacturing Scale
    1. Synopsis
    2. 21.1 Introduction to Industry Competence and Maturity for Advanced Manufacturing
    3. 21.2 Maturity Levels Toward the Fourth Industrial Revolution
    4. 21.3 The Dimensions of Industry Maturity for Advanced Manufacturing
    5. 21.4 Validating the Construct of the Scale
    6. 21.5 Analysis of Assessments from Companies in Northern Israel
    7. 21.6 Identifying Strengths and Weaknesses
    8. 21.7 Summary
    9. Acknowledgments
    10. References
    11. 21.A Literature Review on Models for Maturity Assessment of Companies and Manufacturing Plants
    12. 21.B.The IMAM Questionnaire
  26. 22 Modeling the Evolution of Technologies
    1. Synopsis
    2. 22.1 Introduction to Reliability of Technologies
    3. 22.2 Definitions of Technology
    4. 22.3 The Birth of New Technologies
    5. 22.4 Adoption and Dispersion of Technologies
    6. 22.5 Aging and Obsolescence of Technologies
    7. 22.6 Reliability of Technologies: A New Field of Research
    8. 22.7 Quantitative Holistic Models
    9. 22.8 Summary
    10. References
  27. Acronyms
  28. Biographical Sketches of Editors
  29. Index
  30. End User License Agreement

Product information

  • Title: Systems Engineering in the Fourth Industrial Revolution
  • Author(s): Ron S. Kenett, Robert S. Swarz, Avigdor Zonnenshain
  • Release date: December 2019
  • Publisher(s): Wiley
  • ISBN: 9781119513896