{"product_id":"systems-engineering-in-the-fourth-industrial-revolution-isbn-9781119513896","title":"Systems Engineering in the Fourth Industrial Revolution","description":"\u003cp\u003e\u003cb\u003eAn up-to-date guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSystems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering\u003c\/i\u003e 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. \u003c\/p\u003e \u003cp\u003eThe 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systems\u003c\/li\u003e \u003cli\u003eExplores effective evidence-based risk management practices\u003c\/li\u003e \u003cli\u003eDescribes an integrated approach to safety, reliability, and cyber security based on system theory\u003c\/li\u003e \u003cli\u003eDiscusses entrepreneurship as a multidisciplinary system\u003c\/li\u003e \u003cli\u003eEmphasizes technical merits of systems engineering concepts by providing technical models\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for systems engineers, \u003ci\u003eSystems Engineering in the Fourth Industrial Revolution \u003c\/i\u003eoffers an up-to-date resource that contains the best practices and most recent research on the topic of systems engineering.\u003c\/p\u003e \u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003eList of Contributors xxv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Systems Engineering, Data Analytics, and Systems Thinking 1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRon S. Kenett, Robert S. Swarz, and Avigdor Zonnenshain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 The Fourth Industrial Revolution 4\u003c\/p\u003e \u003cp\u003e1.3 Integrating Reliability Engineering with Systems Engineering 6\u003c\/p\u003e \u003cp\u003e1.4 Software Cybernetics 7\u003c\/p\u003e \u003cp\u003e1.5 Using Modeling and Simulations 8\u003c\/p\u003e \u003cp\u003e1.6 Risk Management 11\u003c\/p\u003e \u003cp\u003e1.7 An Integrated Approach to Safety and Security Based on Systems Theory 13\u003c\/p\u003e \u003cp\u003e1.8 Applied Systems Thinking 15\u003c\/p\u003e \u003cp\u003e1.9 Summary 17\u003c\/p\u003e \u003cp\u003eReferences 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Applied Systems Thinking 21\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRobert Edson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Systems Thinking: An Overview 22\u003c\/p\u003e \u003cp\u003e2.2 The System in Systems Thinking 24\u003c\/p\u003e \u003cp\u003e2.3 Applied Systems Thinking 25\u003c\/p\u003e \u003cp\u003e2.4 Applied Systems Thinking Approach 26\u003c\/p\u003e \u003cp\u003e2.5 Problem Definition: Entry Point to Applied Systems Thinking 27\u003c\/p\u003e \u003cp\u003e2.6 The System Attribute Framework: The Conceptagon 29\u003c\/p\u003e \u003cp\u003e2.7 Soft Systems Methodology 36\u003c\/p\u003e \u003cp\u003e2.8 Systemigram 37\u003c\/p\u003e \u003cp\u003e2.9 Causal Loop Diagrams 39\u003c\/p\u003e \u003cp\u003e2.10 Intervention Points 40\u003c\/p\u003e \u003cp\u003e2.11 Approach, Tools, and Methods – Final Thoughts 41\u003c\/p\u003e \u003cp\u003e2.12 Summary 41\u003c\/p\u003e \u003cp\u003eReferences 42\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 The Importance of Context in Advanced Systems Engineering 45\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAdam D. Williams\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction to Context for Advanced Systems Engineering 45\u003c\/p\u003e \u003cp\u003e3.2 Traditional View(s) of Context in Systems Engineering 47\u003c\/p\u003e \u003cp\u003e3.3 Challenges to Traditional View(s) of Context in the Fourth Industrial Revolution 48\u003c\/p\u003e \u003cp\u003e3.4 Nontraditional Approaches to Context in Advanced Systems Engineering 51\u003c\/p\u003e \u003cp\u003e3.5 \u003ci\u003eContext of Use\u003c\/i\u003e in Advanced Systems Engineering 60\u003c\/p\u003e \u003cp\u003e3.6 An Example of the Context of Use: High Consequence Facility Security 63\u003c\/p\u003e \u003cp\u003e3.7 Summary 70\u003c\/p\u003e \u003cp\u003eReferences 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Architectural Technical Debt in Embedded Systems 77\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAntonio Martini and Jan Bosch\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Technical Debt and Architectural Technical Debt 78\u003c\/p\u003e \u003cp\u003e4.2 Methodology 80\u003c\/p\u003e \u003cp\u003e4.3 Case Study Companies 81\u003c\/p\u003e \u003cp\u003e4.4 Findings: Causes of ATD 82\u003c\/p\u003e \u003cp\u003e4.5 Problem Definition: Entry Point to Applied Systems Thinking 85\u003c\/p\u003e \u003cp\u003e4.6 Findings: Long-Term Implications of ATD Accumulation 91\u003c\/p\u003e \u003cp\u003e4.7 Solutions for ATD Management 91\u003c\/p\u003e \u003cp\u003e4.8 Solution: A Systematic Technical Debt Map 92\u003c\/p\u003e \u003cp\u003e4.9 Solution: Using Automated Architectural Smells Tools for the Architectural Technical Debt Map 96\u003c\/p\u003e \u003cp\u003e4.10 Solution: Can We Calculate if it is Convenient to Refactor Architectural Technical Debt? 97\u003c\/p\u003e \u003cp\u003e4.11 Summary 100\u003c\/p\u003e \u003cp\u003eReferences 101\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Relay Race: The Shared Challenge of Systems and Software Engineering 105\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAmir Tomer\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 105\u003c\/p\u003e \u003cp\u003e5.2 Software-Intensive Systems 107\u003c\/p\u003e \u003cp\u003e5.3 Engineering of Software-Intensive Systems 109\u003c\/p\u003e \u003cp\u003e5.4 Role Allocation and the Relay Race Principles 110\u003c\/p\u003e \u003cp\u003e5.5 The Life Cycle of Software-Intensive Systems 110\u003c\/p\u003e \u003cp\u003e5.6 Software-Intensive System Decomposition 114\u003c\/p\u003e \u003cp\u003e5.7 Functional Analysis: Building a Shared Software-Intensive Architecture 120\u003c\/p\u003e \u003cp\u003e5.8 Summary 127\u003c\/p\u003e \u003cp\u003eReferences 131\u003c\/p\u003e \u003cp\u003e5.A Appendix 132\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Data-Centric Process Systems Engineering for the Chemical Industry 4.0 137\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMarco S. Reis and Pedro M. Saraiva\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 The Past 50 Years of Process Systems Engineering 138\u003c\/p\u003e \u003cp\u003e6.2 Data-Centric Process Systems Engineering 141\u003c\/p\u003e \u003cp\u003e6.3 Challenges in Data-Centric Process Systems Engineering 149\u003c\/p\u003e \u003cp\u003e6.4 Summary 152\u003c\/p\u003e \u003cp\u003eReferences 154\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Virtualization of the Human in the Digital Factory 161\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eDaniele Regazzoni and Caterina Rizzi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 162\u003c\/p\u003e \u003cp\u003e7.2 The Problem 163\u003c\/p\u003e \u003cp\u003e7.3 Enabling Technologies 165\u003c\/p\u003e \u003cp\u003e7.4 Digital Human Models 168\u003c\/p\u003e \u003cp\u003e7.5 Exemplary Applications 173\u003c\/p\u003e \u003cp\u003e7.6 Summary 183\u003c\/p\u003e \u003cp\u003eReferences 1 85\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 The Dark Side of Using Augmented Reality (AR) Training Systems in Industry 191\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eNirit Gavish\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 The Variety of Options of AR Systems in Industry 191\u003c\/p\u003e \u003cp\u003e8.2 Look Out! The Threats in Using AR Systems for Training Purposes 192\u003c\/p\u003e \u003cp\u003e8.3 Threat #1: Physical Fidelity vs. Cognitive Fidelity 193\u003c\/p\u003e \u003cp\u003e8.4 Threat #2: The Effect of Feedback 194\u003c\/p\u003e \u003cp\u003e8.5 Threat #3: Enhanced Information Channels 195\u003c\/p\u003e \u003cp\u003e8.6 Summary 196\u003c\/p\u003e \u003cp\u003eReferences 197\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Condition-Based Maintenance via a Targeted Bayesian Network Meta-Model 203\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAviv Gruber, Shai Yanovski, and Irad Ben-Gal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 203\u003c\/p\u003e \u003cp\u003e9.2 Background to Condition-Based Maintenance and Bayesian Networks 206\u003c\/p\u003e \u003cp\u003e9.3 The Targeted Bayesian Network Learning Framework 212\u003c\/p\u003e \u003cp\u003e9.4 A Demonstration Case Study 213\u003c\/p\u003e \u003cp\u003e9.5 Summary 221\u003c\/p\u003e \u003cp\u003eReferences 224\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Reliability-Based Hazard Analysis and Risk Assessment: A Mining Engineering Case Study 227\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eH. Sebnem Duzgun\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 227\u003c\/p\u003e \u003cp\u003e10.2 Data Collection 229\u003c\/p\u003e \u003cp\u003e10.3 Hazard Assessment 231\u003c\/p\u003e \u003cp\u003e10.4 Summary 237\u003c\/p\u003e \u003cp\u003eReferences 239\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 OPCloud: An OPM Integrated Conceptual-Executable Modeling Environment for Industry 4.0 243\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eDov Dori, Hanan Kohen, Ahmad Jbara, Niva Wengrowicz, Rea Lavi, Natali Levi Soskin, Kfir Bernstein,\u003c\/i\u003e \u003ci\u003eand Uri Shani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Background and Motivation 244\u003c\/p\u003e \u003cp\u003e11.2 What Does MBSE Need to be Agile and Ready for Industry 4.0? 248\u003c\/p\u003e \u003cp\u003e11.3 OPCloud:The Industry 4.0-Ready OPM Modeling Framework 249\u003c\/p\u003e \u003cp\u003e11.4 Main OPCloud Features 252\u003c\/p\u003e \u003cp\u003e11.5 Software Architecture Data Structure 260\u003c\/p\u003e \u003cp\u003e11.6 Development Methodology and Software Testing 262\u003c\/p\u003e \u003cp\u003e11.7 Model Integrity 263\u003c\/p\u003e \u003cp\u003e11.8 Model Complexity Metric and Comprehension 264\u003c\/p\u003e \u003cp\u003e11.9 Educational Perspectives of OPCloud Through edX 266\u003c\/p\u003e \u003cp\u003e11.10 Summary 267\u003c\/p\u003e \u003cp\u003eReferences 268\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Recent Advances Toward the Industrialization of Metal Additive Manufacturing 273\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eFederico Mazzucato, Oliver Avram, Anna Valente, and Emanuele Carpanzano\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 State of the Art 274\u003c\/p\u003e \u003cp\u003e12.2 Metal Additive Manufacturing 279\u003c\/p\u003e \u003cp\u003e12.3 Industrialization of Metal AM: Roadmap Setup at the ARM Laboratory 287\u003c\/p\u003e \u003cp\u003e12.4 Future Work 314\u003c\/p\u003e \u003cp\u003e12.5 Summary 315\u003c\/p\u003e \u003cp\u003eReferences 316\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Analytics as an Enabler of Advanced Manufacturing 321\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRon S. Kenett, Inbal Yahav, and Avigdor Zonnenshain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 322\u003c\/p\u003e \u003cp\u003e13.2 A Literature Review 323\u003c\/p\u003e \u003cp\u003e13.3 Analytic Tools in Advanced Manufacturing 326\u003c\/p\u003e \u003cp\u003e13.4 Challenges of Big Data and Analytic Tools in Advanced Manufacturing 330\u003c\/p\u003e \u003cp\u003e13.5 An Information Quality (InfoQ) Framework for Assessing Advanced Manufacturing 333\u003c\/p\u003e \u003cp\u003e13.6 Summary 335\u003c\/p\u003e \u003cp\u003eReferences 336\u003c\/p\u003e \u003cp\u003e13.A Appendix 340\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Hybrid Semiparametric Modeling: A Modular Process Systems Engineering Approach for the Integration of Available Knowledge Sources 345\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eCristiana Rodrigues de Azevedo, Victor Grisales Díaz, Oscar Andrés Prado-Rubio, Mark J.Willis,  Véronique Préat, Rui Oliveira, and Moritz von Stosch\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 346\u003c\/p\u003e \u003cp\u003e14.2 A Hybrid Semiparametric Modeling Framework 348\u003c\/p\u003e \u003cp\u003e14.3 Applications 352\u003c\/p\u003e \u003cp\u003e14.4 Summary 365\u003c\/p\u003e \u003cp\u003eAcknowledgments 367\u003c\/p\u003e \u003cp\u003eReferences 367\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 System Thinking Begins with Human Factors: Challenges for the 4th Industrial Revolution 375\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAvi Harel\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 376\u003c\/p\u003e \u003cp\u003e15.2 Systems 378\u003c\/p\u003e \u003cp\u003e15.3 Human Factors 380\u003c\/p\u003e \u003cp\u003e15.4 Human Factor Challenges Typical of the 3rd Industrial Revolution 387\u003c\/p\u003e \u003cp\u003e15.5 Summary 408\u003c\/p\u003e \u003cp\u003eReferences 409\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Building More Resilient Cybersecurity Solutions for Infrastructure Systems 415\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eDanie l Wagner\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 A Heightened State of Vulnerability 415\u003c\/p\u003e \u003cp\u003e16.2 The Threat is Real 416\u003c\/p\u003e \u003cp\u003e16.3 A Particularly Menacing Piece of Malware 421\u003c\/p\u003e \u003cp\u003e16.4 Anatomy of An Attack 422\u003c\/p\u003e \u003cp\u003e16.5 The Evolving Landscape 424\u003c\/p\u003e \u003cp\u003e16.6 The Growing Threat Posed by Nuclear Facilities 425\u003c\/p\u003e \u003cp\u003e16.7 Not Even Close to Ready 426\u003c\/p\u003e \u003cp\u003e16.8 Focusing on Cyber Resiliency 428\u003c\/p\u003e \u003cp\u003e16.9 Enter DARPA 430\u003c\/p\u003e \u003cp\u003e16.10 The Frightening Prospect of “Smart” Cities 431\u003c\/p\u003e \u003cp\u003e16.11 Lessons from Petya 434\u003c\/p\u003e \u003cp\u003e16.12 Best Practices 436\u003c\/p\u003e \u003cp\u003e16.13 A Process Rather than a Product 437\u003c\/p\u003e \u003cp\u003e16.14 Building a Better Mousetrap 439\u003c\/p\u003e \u003cp\u003e16.15 Summary 440\u003c\/p\u003e \u003cp\u003eReferences 441\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Closed-Loop Mission Assurance Based on Flexible Contracts: A Fourth Industrial Revolution Imperative 445\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAzad M. Madni and Michael Sievers\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 446\u003c\/p\u003e \u003cp\u003e17.2 Current MA Approach 447\u003c\/p\u003e \u003cp\u003e17.3 Flexible Contract Construct 449\u003c\/p\u003e \u003cp\u003e17.4 Closed-Loop MA Approach 453\u003c\/p\u003e \u003cp\u003e17.5 POMDP Concept of Operations for Exemplar Problem 454\u003c\/p\u003e \u003cp\u003e17.6 An Illustrative Example 457\u003c\/p\u003e \u003cp\u003e17.7 Summary 461\u003c\/p\u003e \u003cp\u003eAcknowledgments 462\u003c\/p\u003e \u003cp\u003eReferences 462\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 FlexTech: From Rigid to Flexible Human–Systems Integration 465\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eGuy A. Boy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Industry 4.0 and Human–Systems Integration 466\u003c\/p\u003e \u003cp\u003e18.2 HSI Evolution: From Interface to Interaction to Organizational Integration 468\u003c\/p\u003e \u003cp\u003e18.3 What Does the Term “System” Mean? 470\u003c\/p\u003e \u003cp\u003e18.4 HSI as Function Allocation 472\u003c\/p\u003e \u003cp\u003e18.5 The Tangibility Issue in Human-Centered Design 473\u003c\/p\u003e \u003cp\u003e18.6 Automation as Function Transfer 475\u003c\/p\u003e \u003cp\u003e18.7 From Rigid Automation to Flexible Autonomy 477\u003c\/p\u003e \u003cp\u003e18.8 Concluding Remarks 478\u003c\/p\u003e \u003cp\u003e18.9 Summary 479\u003c\/p\u003e \u003cp\u003eReferences 480\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Transdisciplinary Engineering Systems 483\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eNel Wognum, John Mo, and Josip Stjepandi\u003c\/i\u003e\u003ci\u003eć\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 483\u003c\/p\u003e \u003cp\u003e19.2 Transdisciplinary Engineering Projects 486\u003c\/p\u003e \u003cp\u003e19.3 Introduction to Transdisciplinary Systems 493\u003c\/p\u003e \u003cp\u003e19.4 Transdisciplinary System 495\u003c\/p\u003e \u003cp\u003e19.5 Example 1: Online Hearing Aid Service and Service Development 498\u003c\/p\u003e \u003cp\u003e19.6 Example 2: License Approach for 3D Printing 502\u003c\/p\u003e \u003cp\u003e19.7 Summary 506\u003c\/p\u003e \u003cp\u003eReferences 507\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Entrepreneurship as a Multidisciplinary Project 511\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eArnon Katz\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction to Entrepreneurship 511\u003c\/p\u003e \u003cp\u003e20.2 Entrepreneurship as a Project 513\u003c\/p\u003e \u003cp\u003e20.3 Approaching Change, Risk, and Uncertainty Systematically 516\u003c\/p\u003e \u003cp\u003e20.4 The Need for a Systemic Transdisciplinary Concept – Conclusions of Case Studies and Experience 518\u003c\/p\u003e \u003cp\u003e20.5 Assimilating System Concepts in Entrepreneurship Management 523\u003c\/p\u003e \u003cp\u003e20.6 Overview of Entrepreneurship Elements 531\u003c\/p\u003e \u003cp\u003e20.7 Summary 534\u003c\/p\u003e \u003cp\u003eReferences 535\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Developing and Validating an Industry Competence and Maturity for Advanced Manufacturing Scale 537\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eEitan Adres, Ron S. Kenett, and Avigdor Zonnenshain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction to Industry Competence and Maturity for Advanced Manufacturing 538\u003c\/p\u003e \u003cp\u003e21.2 Maturity Levels Toward the Fourth Industrial Revolution 538\u003c\/p\u003e \u003cp\u003e21.3 The Dimensions of Industry Maturity for Advanced Manufacturing 540\u003c\/p\u003e \u003cp\u003e21.4 Validating the Construct of the Scale 541\u003c\/p\u003e \u003cp\u003e21.5 Analysis of Assessments from Companies in Northern Israel 544\u003c\/p\u003e \u003cp\u003e21.6 Identifying Strengths and Weaknesses 547\u003c\/p\u003e \u003cp\u003e21.7 Summary 548\u003c\/p\u003e \u003cp\u003eAcknowledgments 551\u003c\/p\u003e \u003cp\u003eReferences 551\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21.A A Literature Review on Models for Maturity Assessment of Companies and Manufacturing Plants 553\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21.A.1 General 553\u003c\/p\u003e \u003cp\u003e21.A.2 CMMI – Capability Maturity Mode Integration 553\u003c\/p\u003e \u003cp\u003e21.A.3 Models for Assessing Readiness Levels 554\u003c\/p\u003e \u003cp\u003e21.A.4 Models for Assessing the Digital Maturity of Organizations 555\u003c\/p\u003e \u003cp\u003e21.A.5 National Models and Standards for Assessing the Readiness of Industry 556\u003c\/p\u003e \u003cp\u003e21.B The IMAM Questionnaire 557\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22 Modeling the Evolution of Technologies 563\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eYair Shai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22.1 Introduction to Reliability of Technologies 564\u003c\/p\u003e \u003cp\u003e22.2 Definitions of Technology 566\u003c\/p\u003e \u003cp\u003e22.3 The Birth of New Technologies 567\u003c\/p\u003e \u003cp\u003e22.4 Adoption and Dispersion of Technologies 574\u003c\/p\u003e \u003cp\u003e22.5 Aging and Obsolescence of Technologies 580\u003c\/p\u003e \u003cp\u003e22.6 Reliability of Technologies: A New Field of Research 582\u003c\/p\u003e \u003cp\u003e22.7 Quantitative Holistic Models 585\u003c\/p\u003e \u003cp\u003e22.8 Summary 595\u003c\/p\u003e \u003cp\u003eReferences 598\u003c\/p\u003e \u003cp\u003eAcronyms 603\u003c\/p\u003e \u003cp\u003eBiographical Sketches of Editors 609\u003c\/p\u003e \u003cp\u003eIndex 611\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eRON S. KENETT\u003c\/b\u003e, \u003cb\u003eP\u003csmall\u003eH\u003c\/small\u003eD\u003c\/b\u003e, is Chairman of the KPA Group, and Senior Research Fellow, Samuel Neaman Institute for National Policy Research, Technion, Israel. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eROBERT S. SWARZ, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is Professor of Practice in the Systems Engineering program of Worcester Polytechnic Institute, Massachusetts, USA. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAVIGDOR ZONNENSHAIN\u003c\/b\u003e, \u003cb\u003eP\u003csmall\u003eH\u003c\/small\u003eD\u003c\/b\u003e, is Senior Research Fellow at The Gordon Center for Systems Engineering and at the Samuel Neaman Institute for National Policy Research Technion, Israel.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAN UP-TO-DATE GUIDE FOR USING MASSIVE AMOUNTS OF DATA AND NOVEL TECHNOLOGIES TO DESIGN, BUILD, AND MAINTAIN BETTER SYSTEMS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eSystems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eThe 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: \u003c\/p\u003e\u003cul\u003e \u003cli\u003ePresents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systems\u003c\/li\u003e \u003cli\u003eExplores effective evidence-based risk management practices\u003c\/li\u003e \u003cli\u003eDescribes an integrated approach to safety, reliability, and cyber security based on system theory\u003c\/li\u003e \u003cli\u003eDiscusses entrepreneurship as a multidisciplinary system\u003c\/li\u003e \u003cli\u003eEmphasizes technical merits of systems engineering concepts by providing technical models\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for systems engineers, \u003ci\u003eSystems Engineering in the Fourth Industrial Revolution\u003c\/i\u003e offers an up-to-date resource that contains the best practices and most recent research on the topic of systems engineering.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990126117093,"sku":"NP9781119513896","price":140.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119513896.jpg?v=1761786613","url":"https:\/\/k12savings.com\/es\/products\/systems-engineering-in-the-fourth-industrial-revolution-isbn-9781119513896","provider":"K12savings","version":"1.0","type":"link"}