Manufacturing from Industry 4.0 to Industry 5.0 : advances and applications /
Manufacturing from Industry 4.0 to Industry 5.0: Advances and Applications unfolds establishing three main pillars: (i) it investigates the theoretical background of the current industrial practice within the framework of industry 4.0 by presenting its key definitions and backbone technologies; (ii)...
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| Format: | Electronic eBook |
| Language: | English |
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Amsterdam :
Elsevier,
2024.
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| Online Access: | ScienceDirect |
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| 245 | 0 | 0 | |a Manufacturing from Industry 4.0 to Industry 5.0 : |b advances and applications / |c edited by Dimitris Mourtzis. |
| 260 | |a Amsterdam : |b Elsevier, |c 2024. | ||
| 300 | |a 1 online resource | ||
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| 337 | |a computer |2 rdamedia | ||
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| 505 | 0 | |a Front Cover -- Manufacturing from Industry 4.0 to Industry 5.0 -- Copyright Page -- Contents -- List of contributors -- Preface -- I. From Industry 4.0 to Industry 5.0: definition, technological enablers, and comparison -- 1 Introduction -- 1.1 Comparison with Industry 4.0 -- 1.2 Challenges -- 1.3 Structure of the book -- 1.3.1 Part I: From Industry 4.0 to Industry 5.0: definition, technological enablers, and comparison -- 1.3.2 Part II: Industry 5.0: human-centric, resilient, and sustainable manufacturing -- 1.3.3 Part III: Integration of Industry 4.0 technologies in modern production and manufacturing networks toward Industry 5.0 -- 1.3.4 Part IV: Outlook, trends, and future directions toward Industry 5.0 -- References -- 2 Industry 4.0 and smart manufacturing -- 2.1 Introduction -- 2.1.1 Evolution of manufacturing paradigms -- 2.1.2 Market needs and challenges -- 2.2 Industry 4.0 -- 2.2.1 Technological pillars of Industry 4.0 -- 2.2.2 RAMI 4.0 reference architecture -- 2.2.3 Industrial Internet Reference Architecture -- 2.2.4 The Open Group Architecture Framework -- 2.2.5 ISO/IEC/IEEE 42010:2011 -- 2.2.6 IEC 62443 -- 2.2.7 NIST Cloud Computing Reference Architecture -- 2.2.8 IBM Industry 4.0 reference architecture -- 2.2.9 Draft ISO IoT reference architecture -- 2.2.10 Maturity stages of Industry 4.0 -- 2.2.11 Automation pyramid for cyber-physical systems -- 2.3 Smart manufacturing principles -- 2.3.1 Smart factory -- 2.3.2 Communication protocols -- 2.3.3 Cloud manufacturing -- 2.3.3.1 Software as a service -- 2.3.3.2 Platform as a service -- 2.3.3.3 Infrastructure as a service -- 2.4 Digital manufacturing -- 2.4.1 Big Data -- 2.4.1.1 The 7V's of Big Data -- 2.4.1.1.1 Volume -- 2.4.1.1.2 Velocity -- 2.4.1.1.3 Variety -- 2.4.1.1.4 Veracity -- 2.4.1.1.5 Value -- 2.4.1.1.6 Value (content of data). | |
| 505 | 8 | |a 2.4.1.2 Big Data analytics-as-a-service intelligence platform -- 2.4.2 5G technology and maintenance 4.0 -- 2.4.3 Artificial intelligence -- 2.5 Discussion and outlook -- 2.6 Conclusions -- References -- 3 Industry 5.0: perspectives, concepts, and technologies -- 3.1 Introduction -- 3.2 Related work -- 3.2.1 What is Industry 5.0 -- 3.2.2 Core values of Industry 5.0 -- 3.2.2.1 Human-centricity -- 3.2.2.2 Sustainability -- 3.2.2.3 Resiliency -- 3.2.3 Composition of Industry 5.0 -- 3.2.3.1 Collaborative intelligence -- 3.2.3.2 Business model transformation -- 3.2.3.3 Multisector symbiosis -- 3.2.3.4 Multisystem heterogeneity -- 3.3 Key enabling technologies and Industry 5.0 architecture -- 3.3.1 Technological pillars of Industry 5.0 and areas of application -- 3.3.2 Multicognitive human-robot collaboration -- 3.3.3 Architecture for Industry 5.0 implementation -- 3.4 Identification of challenges and outlook toward Industry 5.0 -- 3.4.1 Extended reality and holographic computing -- 3.4.2 Cognitive Digital Twins and Metaverse -- 3.4.2.1 Digital Twin evolution -- 3.4.2.2 Cognitive Digital Twin -- 3.4.3 Ontology-based approaches to big data analytics -- 3.4.4 Human-centric platforms for value creation and blockchain -- 3.4.5 Implementation steps of Industry 5.0 -- 3.4.6 Proposed framework for the realization of Industry 5.0 and Society 5.0 -- 3.5 Challenges, opportunities, and limitations -- 3.5.1 Challenges and opportunities -- 3.5.1.1 Human cyber-physical systems -- 3.5.1.2 Human Digital Twin -- 3.5.1.3 Future operators and workforce -- 3.5.1.4 Greentelligent manufacturing -- 3.5.2 Social barriers and limitations -- 3.6 Outlook and conclusion -- References -- 4 Challenges and opportunities of the transition from Industry 4.0 to Industry 5.0 -- 4.1 Introduction -- 4.2 Related work -- 4.2.1 Industrial revolutions toward Industry 5.0. | |
| 505 | 8 | |a 4.2.2 Societal revolutions toward Society 5.0 -- 4.2.3 Industry 5.0 -- 4.2.3.1 Definitions -- 4.2.3.2 Key enabling technologies -- 4.2.3.3 Industry 5.0 areas of application -- 4.2.3.3.1 Manufacturing industry -- 4.2.3.3.2 Supply chain management -- 4.2.3.3.3 Smart healthcare -- 4.2.3.3.4 Smart cities and disaster management -- 4.2.4 Society 5.0 -- 4.2.4.1 Definition -- 4.2.4.2 The nature of Society 5.0 -- 4.2.4.3 Sustainable concept of Society 5.0 -- 4.3 Comparison between Industry 4.0 and Industry 5.0 -- 4.3.1 Comparison framework for Industry 4.0 and Industry 5.0 -- 4.3.2 Industry 4.0 vs. Industry 5.0 -- 4.3.3 Digital twin as a common building block of I4.0 and I5.0 -- 4.3.3.1 Decoding digital twins -- 4.4 Discussion -- 4.4.1 Industry in the Society 5.0 era -- 4.4.2 Skills for the realization of Operator 5.0 -- 4.4.3 Human-centric manufacturing based on human digital twin in Industry 5.0 -- 4.4.4 Challenges and opportunities -- 4.5 Conclusions and outlook -- References -- 5 Society 5.0: social implications, technoethics, and social acceptance -- 5.1 Introduction -- 5.2 Fundamentals of Society 5.0 and Industry 5.0 -- 5.2.1 Concept of Society 5.0 -- 5.2.2 Characteristics of Society 5.0 -- 5.2.2.1 Human-centered -- 5.2.2.2 Integrated cyberspace and physical space -- 5.2.2.3 Sustainable -- 5.2.3 Comparison between Society 5.0 and Industry 5.0 -- 5.2.3.1 Goal dimension -- 5.2.3.2 Value dimension -- 5.2.3.3 Organization dimension -- 5.3 Social implications -- 5.3.1 Sustainable Development Goals and Society 5.0 -- 5.3.2 Digital transformation -- 5.3.3 Social value -- 5.3.3.1 Healthcare -- 5.3.3.2 Education -- 5.3.3.3 Manufacturing -- 5.3.3.4 Transportation -- 5.3.3.5 Energy -- 5.3.3.6 Disaster management -- 5.3.3.7 Agriculture and food -- 5.3.3.8 Finance -- 5.3.3.9 Public services -- 5.4 Technoethics -- 5.4.1 Human-centric technologies. | |
| 505 | 8 | |a 5.4.1.1 Human-robot collaboration -- 5.4.1.2 Artificial intelligence -- 5.4.1.3 5G and beyond -- 5.4.1.4 Big Data -- 5.4.1.5 Internet of Everything -- 5.4.1.6 Digital twin -- 5.4.1.7 Edge computing -- 5.4.1.8 Extended Reality -- 5.4.2 Ethical considerations and policy recommendations -- 5.4.2.1 Ethical considerations of Artificial Intelligence -- 5.4.2.2 Ethical considerations of metaverse -- 5.4.2.3 Policy recommendations -- 5.5 Social acceptance -- 5.5.1 Implementation of Society 5.0 -- 5.5.1.1 Healthcare system -- 5.5.1.2 Sustainable environment -- 5.5.1.3 Others -- 5.5.2 Applications of Industry 5.0 -- 5.5.2.1 Human digital twin -- 5.5.2.2 Smart additive manufacturing -- 5.5.2.3 Human-machine integration -- 5.5.3 Challenges -- 5.5.4 Value system -- 5.6 Conclusion -- References -- II. Industry 5.0: human-centric, resilient, and sustainable manufacturing -- 6 Human-centric systems in smart manufacturing -- 6.1 Introduction -- 6.2 Terminology and definition of human-centric systems -- 6.2.1 Terminology of human-centric systems -- 6.2.2 Human roles in human-centric systems -- 6.3 Manufacturing paradigm of human-centric systems -- 6.3.1 Human-centric cyber-physical systems -- 6.3.2 Human-machine/robot collaborative assembly -- 6.3.3 Human-centric manufacturing systems in assembly -- 6.4 Conclusions and future work -- Acknowledgments -- References -- 7 The configuration of workforce and equipment in assembly lines: toward Industry 5.0 -- 7.1 Introduction -- 7.2 Design of assembly lines for Industry 5.0: current trends and challenges -- 7.3 Workforce dimensioning and new methodology for dynamic workforce and task planning -- 7.3.1 Model-dependent task and workers assignment (MALBPWMd vs MALBPWFix) -- 7.3.2 Dynamic (planned) task and workers assignment (MALBPWDyn1 vs MALBPWMd vs MALBPWFix). | |
| 505 | 8 | |a 7.3.3 Dynamic (reactive) task and workers assignment (MALBPWDyn2 vs MALBPWDyn1 vs MALBPWMd vs MALBPWFix) -- 7.4 Illustrative example -- 7.4.1 MALBPWMd -- 7.4.2 MALBPWDyn1 -- 7.4.3 MALBPWDyn2 -- 7.5 Discussion and outlook -- 7.6 Conclusion -- References -- 8 Responsible manufacturing toward Industry 5.0 -- 8.1 Introduction -- 8.2 Responsible artificial intelligence -- 8.2.1 What is responsible artificial intelligence -- 8.2.2 Basic principles of responsible artificial intelligence -- 8.2.2.1 Transparency -- 8.2.2.2 Fairness -- 8.2.2.3 Accountability -- 8.2.2.4 Privacy -- 8.2.2.5 Robustness -- 8.2.2.6 Human oversight -- 8.2.3 Applications of responsible artificial intelligence in different fields -- 8.2.3.1 Manufacturing -- 8.2.3.2 Electricity -- 8.2.3.3 Aerospace -- 8.2.3.4 Autonomous driving -- 8.2.3.5 Oil and gas extraction -- 8.2.3.6 Agriculture -- 8.3 Applicability of responsible artificial intelligence to smart manufacturing -- 8.3.1 Applications of artificial intelligence in smart manufacturing -- 8.3.2 Applicability of responsible artificial intelligence to smart manufacturing -- 8.3.2.1 Human-centered artificial intelligence in manufacturing -- 8.3.2.2 Fairness, transparency, accountability, privacy, and data security -- 8.3.2.2.1 Fairness -- 8.3.2.2.2 Transparency -- 8.3.2.2.3 Accountability -- 8.3.2.2.4 Privacy and data security -- 8.3.3 Values of responsible artificial intelligence to smart manufacturing -- 8.3.3.1 Enhancing trust and public perception -- 8.3.3.2 Increased efficiency and cost savings -- 8.3.3.3 Enhanced safety and security -- 8.4 Case study: application of responsible manufacturing in the automotive manufacturing industry -- 8.4.1 Press shop -- 8.4.2 Real-time defect detection -- 8.4.3 Predictive maintenance -- 8.4.4 Normative maintenance -- 8.4.5 Body shop -- 8.4.6 Paint shop -- 8.4.7 Final assembly shop. | |
| 520 | |a Manufacturing from Industry 4.0 to Industry 5.0: Advances and Applications unfolds establishing three main pillars: (i) it investigates the theoretical background of the current industrial practice within the framework of industry 4.0 by presenting its key definitions and backbone technologies; (ii) it discusses the methods and state-of-the-art. | ||
| 650 | 0 | |a Industry 4.0. | |
| 650 | 0 | |a Manufacturing processes |x Technological innovations. | |
| 650 | 6 | |a Industrie 4.0. |0 (CaQQLa)000333963 | |
| 650 | 6 | |a Fabrication |0 (CaQQLa)201-0011494 |x Innovations. |0 (CaQQLa)201-0379286 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Manufacturing. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Robotics. |2 bisacsh | |
| 650 | 7 | |a Industry 4.0 |2 fast |0 (OCoLC)fst02024640 | |
| 650 | 7 | |a Manufacturing processes |x Technological innovations |2 fast |0 (OCoLC)fst01008193 | |
| 700 | 1 | |a Mourtzis, Dimitris. | |
| 776 | 0 | 8 | |c Original |z 0443139245 |z 9780443139246 |w (OCoLC)1410861943 |
| 776 | 0 | 8 | |i Print version : |z 9780443139246 |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443139246 |