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Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Autore Cardin Olivier
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2022
Descrizione fisica 1 online resource (348 pages)
Altri autori (Persone) DerigentWilliam
TrentesauxDamien
ISBN 1-119-98742-3
1-119-98740-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Introduction -- PART 1: Conceptualizing Industrial Cyber-Physical Systems -- 1. General Concepts -- 1.1. Industry at the heart of society -- 1.2. Industrial world in search of a new model -- 1.3. Cyber-physical systems -- 1.4. From cyber-physical systems to industrial cyber-physical systems -- 1.5. Perspectives on the study of industrial cyber-physical systems -- 1.6. References -- 2. Moving Towards a Sustainable Model: Societal, Economic and Environmental -- 2.1. Industry of the future and sustainable development -- 2.2. Contribution of ICPS to the social dimension -- 2.2.1. Background -- 2.2.2. Cognitive aspects -- 2.2.3. Health and safety aspects at work -- 2.3. Contribution of ICPS to the environmental dimension -- 2.3.1. Objectives and expectations -- 2.3.2. Example of application -- 2.4. Contribution of ICPS to the economic dimension -- 2.5. Conclusion -- 2.6. References -- PART 2: Sensing and Distributing Information Within Industrial Cyber-Physical Systems -- 3. Information Flow in Industrial Cyber-Physical Systems -- 3.1. Introduction -- 3.2. Information and decision loops when using an ICPS -- 3.3. Decision-making processes within the loops of an ICPS -- 3.3.1. Nature of decision-making processes -- 3.3.2. Nature of information -- 3.3.3. Approach to studying the informational loops of the cyber part of an ICPS -- 3.4. Elements for the implementation of loops -- 3.4.1. Generic architecture -- 3.4.2. Link to decision-making processes and the nature of the information -- 3.5. Illustrative examples -- 3.5.1. Example from rail transport -- 3.5.2. Example from the manufacturing sector -- 3.6. Conclusion -- 3.7. References -- 4. The Intelligent Product Concept -- 4.1. The intelligent product, a leading-edge concept in industrial cyber-physical systems.
4.2. Definitions of the intelligent product concept -- 4.3. Developments in the concept of intelligent products -- 4.3.1. Group 1: product-driven systems (PDS) -- 4.3.2. Group 2: product lifecycle information management (PLIM) -- 4.4. Conclusions and perspectives on the intelligent product -- 4.5. References -- PART 3: Digitalizing at the Service of Industrial Cyber-Physical Systems -- 5. Virtualizing Resources, Products and the Information System -- 5.1. Virtualization - the technology for industrial cyber-physical systems -- 5.2. Virtualization in the industrial environment -- 5.3. Shop floor virtualization of resource and product workloads -- 5.3.1. Resource and product virtualization through shop floor profiles -- 5.3.2. Virtualization of collaborative product and resource workloads -- 5.4. MES virtualization in the cloud (vMES) -- 5.5. Perspectives offered by virtualization to industry of the future -- 5.6. References -- 6. Cybersecurity of Industrial Cyber-Physical Systems -- 6.1. What are the risks involved? -- 6.1.1. Unavailability of systems -- 6.1.2. Loss of confidentiality or integrity -- 6.1.3. Bypassing access and authentication controls -- 6.2. What means of protection? -- 6.2.1. Ensuring availability -- 6.2.2. Ensuring confidentiality -- 6.2.3. Implementing authentication mechanisms -- 6.2.4. Controlling access, permissions and logging -- 6.3. Conclusion -- 6.4. References -- PART 4: Controlling Industrial Cyber-Physical Systems -- 7. Industrial Agents: From the Holonic Paradigm to Industrial Cyber-Physical Systems -- 7.1. Overview of multi-agent systems and holonics -- 7.1.1. Multi-agent systems -- 7.1.2. Holonic paradigm -- 7.2. Industrial agents -- 7.2.1. Definition and characteristics -- 7.2.2. Interfacing with physical assets -- 7.3. Industrial agents for realizing industrial cyber-physical systems.
7.3.1. Supporting the development of intelligent products, machines and systems within cyber-physical systems -- 7.3.2. Implementing an industrial multi-agent system as ICPS -- 7.4. Discussion and future directions -- 7.5. References -- 8. Holonic Control Architectures -- 8.1. Introduction -- 8.2. HCA fundamentals -- 8.3. HCAs in the physical part of ICPS -- 8.4. Dynamic architectures, towards a reconfiguration of the physical part from the cyber part of ICPS -- 8.5. HCAs and Big Data -- 8.6. HCAs and digital twin: towards the digitization of architectures -- 8.7. References -- PART 5: Learning and Interacting with Industrial Cyber-Physical Systems -- 9. Big Data Analytics and Machine Learning for Industrial Cyber-Physical Systems -- 9.1. Introduction -- 9.2. Data massification in industrial cyber-physical systems -- 9.3. Big Data and multi-relational data mining (MRDM) -- 9.3.1. Formal concept analysis (FCA) -- 9.3.2. Relational concept analysis (RCA) -- 9.4. Machine learning -- 9.4.1. Basics of machine learning -- 9.4.2. Multilayer perceptron (MLP) -- 9.5. Illustrative example -- 9.6. Conclusion -- 9.7. References -- 10. Human-Industrial Cyber-Physical System Integration: Design and Evaluation Methods -- 10.1. Introduction -- 10.2. Design methods -- 10.3. Method of integrating HICPS -- 10.3.1. Descending phase -- 10.3.2. Ascending phase -- 10.4. Summary and conclusion -- 10.5. References -- PART 6: Transforming Industries with Industrial Cyber-Physical Systems -- 11. Impact of Industrial Cyber-Physical Systems on Reconfigurable Manufacturing Systems -- 11.1. Context -- 11.1.1. Developments -- 11.1.2. Issues -- 11.1.3. Resources -- 11.2. Reconfiguration -- 11.2.1. Implementation and decision levels -- 11.2.2. Information systems -- 11.2.3. Adaptation in the context of CPPS/RMS -- 11.2.4. Where and when to reconfigure? -- 11.3. Modeling.
11.3.1. Data collection -- 11.3.2. Simulation platforms -- 11.4. Ergonomics/cognitive aspects -- 11.5. Operation of the information system -- 11.5.1. Operational level: procurement -- 11.5.2. Responding to disruptions -- 11.5.3. Decision support -- 11.6. Illustrative example -- 11.7. References -- 12. Impact of Industrial Cyber-Physical Systems on Global and Interconnected Logistics -- 12.1. Logistics and its challenges -- 12.2. Contemporary logistics systems and organizations -- 12.2.1. Intra-site logistics -- 12.2.2. Intra-urban logistics -- 12.2.3. Inter-site inter-city logistics -- 12.3. The Physical Internet as a modern and promising logistics organization -- 12.3.1. Concept and definition -- 12.3.2. Topologies of networks of networks -- 12.4. Perspectives of ICPS applications in interconnected logistics: the example of the Physical Internet -- 12.4.1. Modeling the Physical Internet by ICPS: the example of routing -- 12.4.2. Exploiting ICPS: the data-driven approach and the digital twin-driven approach -- 12.5. Conclusion -- 12.6. References -- 13. Impact of Industrial Cyber-Physical Systems on Transportation -- 13.1. Introduction -- 13.1.1. Pull forces -- 13.1.2. Complexity factors of the transportation sector -- 13.1.3. Push forces -- 13.2. The impact of ICPS on transportation -- 13.3. Rail transportation service: an illustrative example -- 13.3.1. The physical space of SUPERFLO -- 13.3.2. The human fleet supervisor -- 13.3.3. The cyber space of SUPERFLO -- 13.3.4. Evaluation of the proposed model and industrial expectations -- 13.4. Concluding remarks -- 13.5. Acknowledgments -- 13.6. References -- 14. Impacts of Industrial Cyber-Physical Systems on the Building Trades -- 14.1. General introduction -- 14.2. The place of BIM in Construction 4.0 -- 14.3. Examples of transformations in the construction sector.
14.3.1. Control: real-time site management -- 14.3.2. Learning and interacting: virtual reality and machine learning -- 14.3.3. Capturing and distributing: use of wireless technologies (RFID and WSN) -- 14.3.4. Digitalizing: digitalizing technologies for BIM -- 14.4. Example of ICPS in construction -- 14.5. Achieving the digital transformation of businesses -- 14.6. References -- 15. Impact of Industrial Cyber-Physical Systems on the Health System -- 15.1. Introduction -- 15.1.1. The health system and its specificities -- 15.1.2. The digital evolution of healthcare production and health -- 15.2. HCPS in the literature -- 15.2.1. HCPS for medical monitoring -- 15.2.2. HCPS for well-being and prevention -- 15.2.3. HCPS for organizational monitoring of patient pathways -- 15.2.4. Sensors for monitoring patients and resources -- 15.3. The contribution of a digital twin in an HCPS -- 15.3.1. General principle of digital twins in health -- 15.3.2. A proposal for an HCPS based on a digital twin of patient pathways in the hospital -- 15.4. Conclusion -- 15.5. References -- PART 7: Envisioning the Industrial Cyber-Physical Systems of the Future -- 16. Ethics and Responsibility of Industrial Cyber-Physical Systems -- 16.1. Introduction -- 16.2. Ethics and ICPS -- 16.2.1. Data management and protection -- 16.2.2. Control in the design of algorithms -- 16.3. Liability and ICPS -- 16.3.1. Existing liability regimes applied to ICPS -- 16.3.2. Proposals for changes in liability regimes -- 16.4. References -- 17. Teaching and Learning ICPS: Lessons Learned and Best Practices -- 17.1. Introduction -- 17.2. University of Warwick - Bachelor-level curriculum -- 17.2.1. ICPS education: Fusion of computer science and engineering -- 17.2.2. Key enabling technologies in the ICPS curriculum -- 17.2.3. Pedagogical principles: teaching ICPS modules.
17.3. University of Applied Sciences Emden/Leer - master's-level curriculum.
Record Nr. UNINA-9910580256703321
Cardin Olivier  
Newark : , : John Wiley & Sons, Incorporated, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Autore Cardin Olivier
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2022
Descrizione fisica 1 online resource (348 pages)
Disciplina 629.8
Altri autori (Persone) DerigentWilliam
TrentesauxDamien
Soggetto topico Cooperating objects (Computer systems)
Soggetto non controllato Computer Engineering
Cloud Computing
Computer Science
Computers
ISBN 1-119-98741-5
1-119-98742-3
1-119-98740-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Introduction -- PART 1: Conceptualizing Industrial Cyber-Physical Systems -- 1. General Concepts -- 1.1. Industry at the heart of society -- 1.2. Industrial world in search of a new model -- 1.3. Cyber-physical systems -- 1.4. From cyber-physical systems to industrial cyber-physical systems -- 1.5. Perspectives on the study of industrial cyber-physical systems -- 1.6. References -- 2. Moving Towards a Sustainable Model: Societal, Economic and Environmental -- 2.1. Industry of the future and sustainable development -- 2.2. Contribution of ICPS to the social dimension -- 2.2.1. Background -- 2.2.2. Cognitive aspects -- 2.2.3. Health and safety aspects at work -- 2.3. Contribution of ICPS to the environmental dimension -- 2.3.1. Objectives and expectations -- 2.3.2. Example of application -- 2.4. Contribution of ICPS to the economic dimension -- 2.5. Conclusion -- 2.6. References -- PART 2: Sensing and Distributing Information Within Industrial Cyber-Physical Systems -- 3. Information Flow in Industrial Cyber-Physical Systems -- 3.1. Introduction -- 3.2. Information and decision loops when using an ICPS -- 3.3. Decision-making processes within the loops of an ICPS -- 3.3.1. Nature of decision-making processes -- 3.3.2. Nature of information -- 3.3.3. Approach to studying the informational loops of the cyber part of an ICPS -- 3.4. Elements for the implementation of loops -- 3.4.1. Generic architecture -- 3.4.2. Link to decision-making processes and the nature of the information -- 3.5. Illustrative examples -- 3.5.1. Example from rail transport -- 3.5.2. Example from the manufacturing sector -- 3.6. Conclusion -- 3.7. References -- 4. The Intelligent Product Concept -- 4.1. The intelligent product, a leading-edge concept in industrial cyber-physical systems.
4.2. Definitions of the intelligent product concept -- 4.3. Developments in the concept of intelligent products -- 4.3.1. Group 1: product-driven systems (PDS) -- 4.3.2. Group 2: product lifecycle information management (PLIM) -- 4.4. Conclusions and perspectives on the intelligent product -- 4.5. References -- PART 3: Digitalizing at the Service of Industrial Cyber-Physical Systems -- 5. Virtualizing Resources, Products and the Information System -- 5.1. Virtualization - the technology for industrial cyber-physical systems -- 5.2. Virtualization in the industrial environment -- 5.3. Shop floor virtualization of resource and product workloads -- 5.3.1. Resource and product virtualization through shop floor profiles -- 5.3.2. Virtualization of collaborative product and resource workloads -- 5.4. MES virtualization in the cloud (vMES) -- 5.5. Perspectives offered by virtualization to industry of the future -- 5.6. References -- 6. Cybersecurity of Industrial Cyber-Physical Systems -- 6.1. What are the risks involved? -- 6.1.1. Unavailability of systems -- 6.1.2. Loss of confidentiality or integrity -- 6.1.3. Bypassing access and authentication controls -- 6.2. What means of protection? -- 6.2.1. Ensuring availability -- 6.2.2. Ensuring confidentiality -- 6.2.3. Implementing authentication mechanisms -- 6.2.4. Controlling access, permissions and logging -- 6.3. Conclusion -- 6.4. References -- PART 4: Controlling Industrial Cyber-Physical Systems -- 7. Industrial Agents: From the Holonic Paradigm to Industrial Cyber-Physical Systems -- 7.1. Overview of multi-agent systems and holonics -- 7.1.1. Multi-agent systems -- 7.1.2. Holonic paradigm -- 7.2. Industrial agents -- 7.2.1. Definition and characteristics -- 7.2.2. Interfacing with physical assets -- 7.3. Industrial agents for realizing industrial cyber-physical systems.
7.3.1. Supporting the development of intelligent products, machines and systems within cyber-physical systems -- 7.3.2. Implementing an industrial multi-agent system as ICPS -- 7.4. Discussion and future directions -- 7.5. References -- 8. Holonic Control Architectures -- 8.1. Introduction -- 8.2. HCA fundamentals -- 8.3. HCAs in the physical part of ICPS -- 8.4. Dynamic architectures, towards a reconfiguration of the physical part from the cyber part of ICPS -- 8.5. HCAs and Big Data -- 8.6. HCAs and digital twin: towards the digitization of architectures -- 8.7. References -- PART 5: Learning and Interacting with Industrial Cyber-Physical Systems -- 9. Big Data Analytics and Machine Learning for Industrial Cyber-Physical Systems -- 9.1. Introduction -- 9.2. Data massification in industrial cyber-physical systems -- 9.3. Big Data and multi-relational data mining (MRDM) -- 9.3.1. Formal concept analysis (FCA) -- 9.3.2. Relational concept analysis (RCA) -- 9.4. Machine learning -- 9.4.1. Basics of machine learning -- 9.4.2. Multilayer perceptron (MLP) -- 9.5. Illustrative example -- 9.6. Conclusion -- 9.7. References -- 10. Human-Industrial Cyber-Physical System Integration: Design and Evaluation Methods -- 10.1. Introduction -- 10.2. Design methods -- 10.3. Method of integrating HICPS -- 10.3.1. Descending phase -- 10.3.2. Ascending phase -- 10.4. Summary and conclusion -- 10.5. References -- PART 6: Transforming Industries with Industrial Cyber-Physical Systems -- 11. Impact of Industrial Cyber-Physical Systems on Reconfigurable Manufacturing Systems -- 11.1. Context -- 11.1.1. Developments -- 11.1.2. Issues -- 11.1.3. Resources -- 11.2. Reconfiguration -- 11.2.1. Implementation and decision levels -- 11.2.2. Information systems -- 11.2.3. Adaptation in the context of CPPS/RMS -- 11.2.4. Where and when to reconfigure? -- 11.3. Modeling.
11.3.1. Data collection -- 11.3.2. Simulation platforms -- 11.4. Ergonomics/cognitive aspects -- 11.5. Operation of the information system -- 11.5.1. Operational level: procurement -- 11.5.2. Responding to disruptions -- 11.5.3. Decision support -- 11.6. Illustrative example -- 11.7. References -- 12. Impact of Industrial Cyber-Physical Systems on Global and Interconnected Logistics -- 12.1. Logistics and its challenges -- 12.2. Contemporary logistics systems and organizations -- 12.2.1. Intra-site logistics -- 12.2.2. Intra-urban logistics -- 12.2.3. Inter-site inter-city logistics -- 12.3. The Physical Internet as a modern and promising logistics organization -- 12.3.1. Concept and definition -- 12.3.2. Topologies of networks of networks -- 12.4. Perspectives of ICPS applications in interconnected logistics: the example of the Physical Internet -- 12.4.1. Modeling the Physical Internet by ICPS: the example of routing -- 12.4.2. Exploiting ICPS: the data-driven approach and the digital twin-driven approach -- 12.5. Conclusion -- 12.6. References -- 13. Impact of Industrial Cyber-Physical Systems on Transportation -- 13.1. Introduction -- 13.1.1. Pull forces -- 13.1.2. Complexity factors of the transportation sector -- 13.1.3. Push forces -- 13.2. The impact of ICPS on transportation -- 13.3. Rail transportation service: an illustrative example -- 13.3.1. The physical space of SUPERFLO -- 13.3.2. The human fleet supervisor -- 13.3.3. The cyber space of SUPERFLO -- 13.3.4. Evaluation of the proposed model and industrial expectations -- 13.4. Concluding remarks -- 13.5. Acknowledgments -- 13.6. References -- 14. Impacts of Industrial Cyber-Physical Systems on the Building Trades -- 14.1. General introduction -- 14.2. The place of BIM in Construction 4.0 -- 14.3. Examples of transformations in the construction sector.
14.3.1. Control: real-time site management -- 14.3.2. Learning and interacting: virtual reality and machine learning -- 14.3.3. Capturing and distributing: use of wireless technologies (RFID and WSN) -- 14.3.4. Digitalizing: digitalizing technologies for BIM -- 14.4. Example of ICPS in construction -- 14.5. Achieving the digital transformation of businesses -- 14.6. References -- 15. Impact of Industrial Cyber-Physical Systems on the Health System -- 15.1. Introduction -- 15.1.1. The health system and its specificities -- 15.1.2. The digital evolution of healthcare production and health -- 15.2. HCPS in the literature -- 15.2.1. HCPS for medical monitoring -- 15.2.2. HCPS for well-being and prevention -- 15.2.3. HCPS for organizational monitoring of patient pathways -- 15.2.4. Sensors for monitoring patients and resources -- 15.3. The contribution of a digital twin in an HCPS -- 15.3.1. General principle of digital twins in health -- 15.3.2. A proposal for an HCPS based on a digital twin of patient pathways in the hospital -- 15.4. Conclusion -- 15.5. References -- PART 7: Envisioning the Industrial Cyber-Physical Systems of the Future -- 16. Ethics and Responsibility of Industrial Cyber-Physical Systems -- 16.1. Introduction -- 16.2. Ethics and ICPS -- 16.2.1. Data management and protection -- 16.2.2. Control in the design of algorithms -- 16.3. Liability and ICPS -- 16.3.1. Existing liability regimes applied to ICPS -- 16.3.2. Proposals for changes in liability regimes -- 16.4. References -- 17. Teaching and Learning ICPS: Lessons Learned and Best Practices -- 17.1. Introduction -- 17.2. University of Warwick - Bachelor-level curriculum -- 17.2.1. ICPS education: Fusion of computer science and engineering -- 17.2.2. Key enabling technologies in the ICPS curriculum -- 17.2.3. Pedagogical principles: teaching ICPS modules.
17.3. University of Applied Sciences Emden/Leer - master's-level curriculum.
Record Nr. UNINA-9910830124403321
Cardin Olivier  
Newark : , : John Wiley & Sons, Incorporated, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Autore Cardin Olivier
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2022
Descrizione fisica 1 online resource (348 pages)
Disciplina 629.8
Altri autori (Persone) DerigentWilliam
TrentesauxDamien
Soggetto topico Cooperating objects (Computer systems)
Soggetto non controllato Computer Engineering
Cloud Computing
Computer Science
Computers
ISBN 1-119-98741-5
1-119-98742-3
1-119-98740-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Introduction -- PART 1: Conceptualizing Industrial Cyber-Physical Systems -- 1. General Concepts -- 1.1. Industry at the heart of society -- 1.2. Industrial world in search of a new model -- 1.3. Cyber-physical systems -- 1.4. From cyber-physical systems to industrial cyber-physical systems -- 1.5. Perspectives on the study of industrial cyber-physical systems -- 1.6. References -- 2. Moving Towards a Sustainable Model: Societal, Economic and Environmental -- 2.1. Industry of the future and sustainable development -- 2.2. Contribution of ICPS to the social dimension -- 2.2.1. Background -- 2.2.2. Cognitive aspects -- 2.2.3. Health and safety aspects at work -- 2.3. Contribution of ICPS to the environmental dimension -- 2.3.1. Objectives and expectations -- 2.3.2. Example of application -- 2.4. Contribution of ICPS to the economic dimension -- 2.5. Conclusion -- 2.6. References -- PART 2: Sensing and Distributing Information Within Industrial Cyber-Physical Systems -- 3. Information Flow in Industrial Cyber-Physical Systems -- 3.1. Introduction -- 3.2. Information and decision loops when using an ICPS -- 3.3. Decision-making processes within the loops of an ICPS -- 3.3.1. Nature of decision-making processes -- 3.3.2. Nature of information -- 3.3.3. Approach to studying the informational loops of the cyber part of an ICPS -- 3.4. Elements for the implementation of loops -- 3.4.1. Generic architecture -- 3.4.2. Link to decision-making processes and the nature of the information -- 3.5. Illustrative examples -- 3.5.1. Example from rail transport -- 3.5.2. Example from the manufacturing sector -- 3.6. Conclusion -- 3.7. References -- 4. The Intelligent Product Concept -- 4.1. The intelligent product, a leading-edge concept in industrial cyber-physical systems.
4.2. Definitions of the intelligent product concept -- 4.3. Developments in the concept of intelligent products -- 4.3.1. Group 1: product-driven systems (PDS) -- 4.3.2. Group 2: product lifecycle information management (PLIM) -- 4.4. Conclusions and perspectives on the intelligent product -- 4.5. References -- PART 3: Digitalizing at the Service of Industrial Cyber-Physical Systems -- 5. Virtualizing Resources, Products and the Information System -- 5.1. Virtualization - the technology for industrial cyber-physical systems -- 5.2. Virtualization in the industrial environment -- 5.3. Shop floor virtualization of resource and product workloads -- 5.3.1. Resource and product virtualization through shop floor profiles -- 5.3.2. Virtualization of collaborative product and resource workloads -- 5.4. MES virtualization in the cloud (vMES) -- 5.5. Perspectives offered by virtualization to industry of the future -- 5.6. References -- 6. Cybersecurity of Industrial Cyber-Physical Systems -- 6.1. What are the risks involved? -- 6.1.1. Unavailability of systems -- 6.1.2. Loss of confidentiality or integrity -- 6.1.3. Bypassing access and authentication controls -- 6.2. What means of protection? -- 6.2.1. Ensuring availability -- 6.2.2. Ensuring confidentiality -- 6.2.3. Implementing authentication mechanisms -- 6.2.4. Controlling access, permissions and logging -- 6.3. Conclusion -- 6.4. References -- PART 4: Controlling Industrial Cyber-Physical Systems -- 7. Industrial Agents: From the Holonic Paradigm to Industrial Cyber-Physical Systems -- 7.1. Overview of multi-agent systems and holonics -- 7.1.1. Multi-agent systems -- 7.1.2. Holonic paradigm -- 7.2. Industrial agents -- 7.2.1. Definition and characteristics -- 7.2.2. Interfacing with physical assets -- 7.3. Industrial agents for realizing industrial cyber-physical systems.
7.3.1. Supporting the development of intelligent products, machines and systems within cyber-physical systems -- 7.3.2. Implementing an industrial multi-agent system as ICPS -- 7.4. Discussion and future directions -- 7.5. References -- 8. Holonic Control Architectures -- 8.1. Introduction -- 8.2. HCA fundamentals -- 8.3. HCAs in the physical part of ICPS -- 8.4. Dynamic architectures, towards a reconfiguration of the physical part from the cyber part of ICPS -- 8.5. HCAs and Big Data -- 8.6. HCAs and digital twin: towards the digitization of architectures -- 8.7. References -- PART 5: Learning and Interacting with Industrial Cyber-Physical Systems -- 9. Big Data Analytics and Machine Learning for Industrial Cyber-Physical Systems -- 9.1. Introduction -- 9.2. Data massification in industrial cyber-physical systems -- 9.3. Big Data and multi-relational data mining (MRDM) -- 9.3.1. Formal concept analysis (FCA) -- 9.3.2. Relational concept analysis (RCA) -- 9.4. Machine learning -- 9.4.1. Basics of machine learning -- 9.4.2. Multilayer perceptron (MLP) -- 9.5. Illustrative example -- 9.6. Conclusion -- 9.7. References -- 10. Human-Industrial Cyber-Physical System Integration: Design and Evaluation Methods -- 10.1. Introduction -- 10.2. Design methods -- 10.3. Method of integrating HICPS -- 10.3.1. Descending phase -- 10.3.2. Ascending phase -- 10.4. Summary and conclusion -- 10.5. References -- PART 6: Transforming Industries with Industrial Cyber-Physical Systems -- 11. Impact of Industrial Cyber-Physical Systems on Reconfigurable Manufacturing Systems -- 11.1. Context -- 11.1.1. Developments -- 11.1.2. Issues -- 11.1.3. Resources -- 11.2. Reconfiguration -- 11.2.1. Implementation and decision levels -- 11.2.2. Information systems -- 11.2.3. Adaptation in the context of CPPS/RMS -- 11.2.4. Where and when to reconfigure? -- 11.3. Modeling.
11.3.1. Data collection -- 11.3.2. Simulation platforms -- 11.4. Ergonomics/cognitive aspects -- 11.5. Operation of the information system -- 11.5.1. Operational level: procurement -- 11.5.2. Responding to disruptions -- 11.5.3. Decision support -- 11.6. Illustrative example -- 11.7. References -- 12. Impact of Industrial Cyber-Physical Systems on Global and Interconnected Logistics -- 12.1. Logistics and its challenges -- 12.2. Contemporary logistics systems and organizations -- 12.2.1. Intra-site logistics -- 12.2.2. Intra-urban logistics -- 12.2.3. Inter-site inter-city logistics -- 12.3. The Physical Internet as a modern and promising logistics organization -- 12.3.1. Concept and definition -- 12.3.2. Topologies of networks of networks -- 12.4. Perspectives of ICPS applications in interconnected logistics: the example of the Physical Internet -- 12.4.1. Modeling the Physical Internet by ICPS: the example of routing -- 12.4.2. Exploiting ICPS: the data-driven approach and the digital twin-driven approach -- 12.5. Conclusion -- 12.6. References -- 13. Impact of Industrial Cyber-Physical Systems on Transportation -- 13.1. Introduction -- 13.1.1. Pull forces -- 13.1.2. Complexity factors of the transportation sector -- 13.1.3. Push forces -- 13.2. The impact of ICPS on transportation -- 13.3. Rail transportation service: an illustrative example -- 13.3.1. The physical space of SUPERFLO -- 13.3.2. The human fleet supervisor -- 13.3.3. The cyber space of SUPERFLO -- 13.3.4. Evaluation of the proposed model and industrial expectations -- 13.4. Concluding remarks -- 13.5. Acknowledgments -- 13.6. References -- 14. Impacts of Industrial Cyber-Physical Systems on the Building Trades -- 14.1. General introduction -- 14.2. The place of BIM in Construction 4.0 -- 14.3. Examples of transformations in the construction sector.
14.3.1. Control: real-time site management -- 14.3.2. Learning and interacting: virtual reality and machine learning -- 14.3.3. Capturing and distributing: use of wireless technologies (RFID and WSN) -- 14.3.4. Digitalizing: digitalizing technologies for BIM -- 14.4. Example of ICPS in construction -- 14.5. Achieving the digital transformation of businesses -- 14.6. References -- 15. Impact of Industrial Cyber-Physical Systems on the Health System -- 15.1. Introduction -- 15.1.1. The health system and its specificities -- 15.1.2. The digital evolution of healthcare production and health -- 15.2. HCPS in the literature -- 15.2.1. HCPS for medical monitoring -- 15.2.2. HCPS for well-being and prevention -- 15.2.3. HCPS for organizational monitoring of patient pathways -- 15.2.4. Sensors for monitoring patients and resources -- 15.3. The contribution of a digital twin in an HCPS -- 15.3.1. General principle of digital twins in health -- 15.3.2. A proposal for an HCPS based on a digital twin of patient pathways in the hospital -- 15.4. Conclusion -- 15.5. References -- PART 7: Envisioning the Industrial Cyber-Physical Systems of the Future -- 16. Ethics and Responsibility of Industrial Cyber-Physical Systems -- 16.1. Introduction -- 16.2. Ethics and ICPS -- 16.2.1. Data management and protection -- 16.2.2. Control in the design of algorithms -- 16.3. Liability and ICPS -- 16.3.1. Existing liability regimes applied to ICPS -- 16.3.2. Proposals for changes in liability regimes -- 16.4. References -- 17. Teaching and Learning ICPS: Lessons Learned and Best Practices -- 17.1. Introduction -- 17.2. University of Warwick - Bachelor-level curriculum -- 17.2.1. ICPS education: Fusion of computer science and engineering -- 17.2.2. Key enabling technologies in the ICPS curriculum -- 17.2.3. Pedagogical principles: teaching ICPS modules.
17.3. University of Applied Sciences Emden/Leer - master's-level curriculum.
Record Nr. UNINA-9910876817703321
Cardin Olivier  
Newark : , : John Wiley & Sons, Incorporated, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Industrial Applications of Holonic and Multi-Agent Systems [[electronic resource] ] : 7th International Conference, HoloMAS 2015, Valencia, Spain, September 2-3, 2015, Proceedings / / edited by Vladimír Mařík, Arnd Schirrmann, Damien Trentesaux, Pavel Vrba
Industrial Applications of Holonic and Multi-Agent Systems [[electronic resource] ] : 7th International Conference, HoloMAS 2015, Valencia, Spain, September 2-3, 2015, Proceedings / / edited by Vladimír Mařík, Arnd Schirrmann, Damien Trentesaux, Pavel Vrba
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XI, 243 p. 88 illus.)
Disciplina 670.285
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-319-22867-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996199936803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Industrial Applications of Holonic and Multi-Agent Systems : 7th International Conference, HoloMAS 2015, Valencia, Spain, September 2-3, 2015, Proceedings / / edited by Vladimír Mařík, Arnd Schirrmann, Damien Trentesaux, Pavel Vrba
Industrial Applications of Holonic and Multi-Agent Systems : 7th International Conference, HoloMAS 2015, Valencia, Spain, September 2-3, 2015, Proceedings / / edited by Vladimír Mařík, Arnd Schirrmann, Damien Trentesaux, Pavel Vrba
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XI, 243 p. 88 illus.)
Disciplina 670.285
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-319-22867-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484856203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Service Orientation in Holonic and Multi Agent Manufacturing and Robotics / / edited by Theodor Borangiu, Andre Thomas, Damien Trentesaux
Service Orientation in Holonic and Multi Agent Manufacturing and Robotics / / edited by Theodor Borangiu, Andre Thomas, Damien Trentesaux
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXIV, 398 p. 164 illus., 84 illus. in color.)
Disciplina 006.3
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Robotics
Automation
Computational Intelligence
Artificial Intelligence
Robotics and Automation
ISBN 3-642-35852-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Holonic and multi-agent systems for manufacturing -- Intelligent products and product driven manufacturing -- Service orientation in manufacturing management control -- Distributed intelligence for sustainable manufacturing. .
Record Nr. UNINA-9910437892703321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
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Service Orientation in Holonic and Multi-Agent Manufacturing : Proceedings of SOHOMA 2018 / / edited by Theodor Borangiu, Damien Trentesaux, André Thomas, Sergio Cavalieri
Service Orientation in Holonic and Multi-Agent Manufacturing : Proceedings of SOHOMA 2018 / / edited by Theodor Borangiu, Damien Trentesaux, André Thomas, Sergio Cavalieri
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVIII, 462 p. 160 illus., 124 illus. in color.)
Disciplina 004.654
670.4275
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Manufactures
Artificial intelligence
Computational Intelligence
Manufacturing, Machines, Tools, Processes
Artificial Intelligence
ISBN 3-030-03003-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ARTI Reference Architecture – PROSA revisited -- Scientific Discussion: Open Reviews of “ARTI Reference Architecture – PROSA revisited” -- Part I: Cloud Manufacturing: Architectures, Services and Implementation in Production Control -- A distributed approach for machine learning in large scale manufacturing systems -- Cloud-based additive manufacturing as a strategy for product variety: a simulation study -- Architecture for Production Internet -- Integration of a solar panel in power microgrid via Internet of Things -- Intelligent support of requirements management in agile environment -- Industry 4.0 Technologies impacts in the manufacturing and supply chain landscape: an overview -- Part II: Human-centred design for adaptive manufacturing systems -- Human-machine cooperation in self-organized production systems: a point of view -- Architectures for human worker integration in Holonic Manufacturing Systems.
Record Nr. UNINA-9910484551803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Service Orientation in Holonic and Multi-Agent Manufacturing : Proceedings of SOHOMA 2017 / / edited by Theodor Borangiu, Damien Trentesaux, André Thomas, Olivier Cardin
Service Orientation in Holonic and Multi-Agent Manufacturing : Proceedings of SOHOMA 2017 / / edited by Theodor Borangiu, Damien Trentesaux, André Thomas, Olivier Cardin
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVI, 502 p. 198 illus., 168 illus. in color.)
Disciplina 004.6
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Industrial engineering
Production engineering
Robotics
Automation
Computational Intelligence
Artificial Intelligence
Industrial and Production Engineering
Robotics and Automation
ISBN 3-319-73751-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial Intelligence, Autonomous Systems and Robotics: Legal Innovations -- Multi-Agent System Architecture for Zero Defect Multi-stage Manufacturing -- Multicriteria Supplier Selection for Supply Chain Management -- Environmental Assessment Using a Lean Based Tool -- A Maturity Framework for Operational Resilience and its Application to Production Control. .
Record Nr. UNINA-9910299944603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Service Orientation in Holonic and Multi-Agent Manufacturing : Proceedings of SOHOMA 2016 / / edited by Theodor Borangiu, Damien Trentesaux, André Thomas, Paulo Leitão, José Barata Oliveira
Service Orientation in Holonic and Multi-Agent Manufacturing : Proceedings of SOHOMA 2016 / / edited by Theodor Borangiu, Damien Trentesaux, André Thomas, Paulo Leitão, José Barata Oliveira
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (IX, 438 p. 136 illus.)
Disciplina 004.6
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Industrial engineering
Production engineering
Robotics
Automation
Computational Intelligence
Artificial Intelligence
Industrial and Production Engineering
Robotics and Automation
ISBN 3-319-51100-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 High availability cloud manufacturing system integrating distributed MES agents -- 2Classification of cyber-physical systems developments: proposition of an analysis framework -- 3Formal Modelling of Distributed Automation CPS with CP-Agnostic Software -- 4Industrial Cyber Physical Systems Supported by Distributed Advanced Data Analytics -- 5 Gap analysis on Research and Innovation for Cyber-Physical Systems in Manufacturing -- 6 Redundant and Decentralised Directory Facilitator for Resilient Plug and Produce Cyber Physical Production Systems -- 7 Multi-Agent Systems for Industry and Service -- 8 A Self-Organisation Model for Mobile Robots in Large Structure Assembly using Multi-Agent Systems -- 9 Specifying Self-organising Logistics System: openness, intelligence, and decentralised control -- 10 A Generic Reconfigurable and Pluggable Material Handling System based on Genetic Algorithm -- 11 Smart condition based maintenance for a fleet of mobile entities. .
Record Nr. UNINA-9910254335603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
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Service Orientation in Holonic and Multi-Agent Manufacturing / / edited by Theodor Borangiu, Damien Trentesaux, André Thomas, Duncan McFarlane
Service Orientation in Holonic and Multi-Agent Manufacturing / / edited by Theodor Borangiu, Damien Trentesaux, André Thomas, Duncan McFarlane
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXII, 340 p. 111 illus., 87 illus. in color.)
Disciplina 658.50028563
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Industrial engineering
Production engineering
Robotics
Automation
Computational Intelligence
Artificial Intelligence
Industrial and Production Engineering
Robotics and Automation
ISBN 3-319-30337-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applications of Intelligent Products -- Recent Advances in Control for Physical Internet and Interconnected Logistics -- Sustainability Issues in Intelligent Manufacturing Systems -- Holonic and Multi-Agent System Design for Industry and Services -- Service Oriented Enterprise Management and Control -- Cloud and Computing-oriented Manufacturing -- Smart Grids and Wireless Sensor Networks.
Record Nr. UNINA-9910253960903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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