Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
LEADER 00000cam a2200697 i 4500
003 OCoLC
005 20240129213017.0
006 m o d
007 cr cnu---unuuu
008 190716s2020 njua ob 001 0 eng
010 2019030438
015 GBC028831|2bnb
016 7 019711832|2Uk
019 1137593325
020 9781119513940|q(electronic book)
020 1119513944|q(electronic book)
020 9781119513926|q(electronic publication)
020 1119513928
020 9781119513957|q(electronic bk.)
020 1119513952|q(electronic bk.)
020 |q(hardcover)
024 7 10.1002/9781119513957|2doi
029 1 AU@|b000066576112
029 1 CHNEW|b001077436
029 1 CHVBK|b582679869
029 1 UKMGB|b019711832
029 1 AU@|b000068656705
035 (OCoLC)1122695537|z(OCoLC)1137593325
037 9781119513926|bWiley
037 9820812|bIEEE
040 DLC|beng|erda|epn|cDLC|dOCLCO|dOCLCF|dN$T|dYDX|dDG1|dUKMGB
|dNOC|dSFB|dN9V|dNOC|dOCLCQ|dOCLCO|dIEEEE|dOCLCQ|dOCLCO
|dOCLCL
042 pcc
049 INap
082 00 620.001/1
082 00 620.001/1|223
099 eBook O'Reilly for Public Libraries
245 00 Systems engineering in the fourth industrial revolution :
|bbig data, novel technologies, and modern systems
engineering /|cedited by Ron S. Kenett, Robert S. Swarz,
Avigdor Zonnenshain.|h[O'Reilly electronic resource]
250 First edition.
264 1 Hoboken, NJ :|bWiley,|c2020.
300 1 online resource (xxviii, 622 pages)
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
504 Includes bibliographical references and index.
505 0 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
520 "This book addresses the changes in systems engineering
(SE) prompted by the current industrial environment.
Elements of importance in this environment are the shift
towards data collection, availability and use in the
design and development of systems and also in the later
life-cycle stages of use and retirement. In addition, the
book addresses the issues in a system in which the system
involves data in its operation, contrasting with earlier
approaches in which data and algorithm implementation were
less involved in the function of the system. These issues
are a significant contrast with typical applications of SE
to date, in which systems have been conceived as
relatively static and long time lines have been
acceptable"--|cProvided by publisher
588 0 Online resource; title from digital title page (viewed on
January 22, 2020).
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Systems engineering.
650 6 Ingénierie des systèmes.
650 7 systems engineering.|2aat
650 7 Systems engineering|2fast
700 1 Kenett, Ron,|eeditor.
700 1 Swarz, Robert S.,|eeditor.
700 1 Zonnenshain, Avigdor,|eeditor.
776 08 |iPrint version:|tSystems engineering in the fourth
industrial revolution.|bFirst edition.|dHoboken, NJ :
Wiley, [2020]|z9781119513896|w(DLC) 2019030437
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781119513896/?ar
|zAvailable on O'Reilly for Public Libraries
938 EBSCOhost|bEBSC|n2328558
938 YBP Library Services|bYANK|n16322715
994 92|bJFN