Architecting knowledge based platform design von ming zhenjun (23 Ergebnisse)
Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Taschenbuch. Zustand: Neu. Architecting A Knowledge-Based Platform for Design Engineering 4.0 | Zhenjun Ming (u. a.) | Taschenbuch | xvi | Englisch | 2023 | Springer International Publishing | EAN 9783030905231 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at…]springer[dot]com | Anbieter: preigu.
Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Design Engineering for Industry 4.0 (DE4.0) represents the 'human-cyber-physical view of the systems realization ecosystem 'that is necessary to accommodate the drivers of Industry 4.0 (IoX) and provide an open ecosystem for the realization of compl…ex systems. Seamless integration of digital threads and digital twins throughout the product design, the development and fulfillment lifecycle; the ability to accommodate diverse and rapidly changing technologies; and the mechanisms to facilitate the creation of new opportunities for the design of products, processes, services, and systems are some of the desired characteristics of DE4.0.'Jiao, R., Commuri, S. Panchal, J., Milisavljevic-Syed, J, Allen, J.K., Mistree, F. and Schaefer, D., 'Design Engineering in the Age of Industry 4.0,' ASME Journal of Mechanical Design, 143(7), 070801, 25 pages.In keeping with the Design Engineering 4.0 construct the authors describe architecting a computer platform to support human designers make decisions associated with the realization of complex engineered systems. The platform is designed to facilitate end-to-end digital integration, customization and personalization, agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service.Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing acomputational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.This book is a valuable resource for researchers, design engineers, and others working on pushing the boundary of digitized manufacturing to include Design Engineering 4.0 principles in designing products, processes, and services.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Design Engineering for Industry 4.0 (DE4.0) represents the 'human-cyber-physical view of the systems realization ecosystem 'that is necessary to accommodate the drivers of Industry 4.0 (IoX) and provide an open ecosystem for the realization of complex syst…ems. Seamless integration of digital threads and digital twins throughout the product design, the development and fulfillment lifecycle; the ability to accommodate diverse and rapidly changing technologies; and the mechanisms to facilitate the creation of new opportunities for the design of products, processes, services, and systems are some of the desired characteristics of DE4.0.'Jiao, R., Commuri, S. Panchal, J., Milisavljevic-Syed, J, Allen, J.K., Mistree, F. and Schaefer, D., 'Design Engineering in the Age of Industry 4.0,' ASME Journal of Mechanical Design, 143(7), 070801, 25 pages.In keeping with the Design Engineering 4.0 construct the authors describe architecting a computer platform to support human designers make decisions associated with the realization of complex engineered systems. The platform is designed to facilitate end-to-end digital integration, customization and personalization, agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service.Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing acomputational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.This book is a valuable resource for researchers, design engineers, and others working on pushing the boundary of digitized manufacturing to include Design Engineering 4.0 principles in designing products, processes, and services.
Architecting a Knowledge-based Platform for Design Engineering 4.0
Ming, Zhenjun/ Nellippallil, Anand Balu/ Wang, Ru/ Allen, Janet K./ Wang, Guoxin
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Paperback. Zustand: Brand New. 257 pages. 9.25x6.10x0.55 inches. In Stock.
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Architecting A Knowledge-Based Platform for Design
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Architecting A Knowledge-Based Platform for Design
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Architecting A Knowledge-Based Platform for Design Engineering 4.0
Zhenjun Ming|Anand Balu Nellippallil|Ru Wang|Janet K. Allen|Guoxin Wang|Yan Yan|Farrokh Mistree
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents theoretical fundamentals for formulating design decisions in the context of industry 4.0Provides tools for architecting a knowledge-based platform for decision supportUtilises a knowled…ge-based engineering perspective to provide a .
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Architecting A Knowledge-Based Platform for Design Engineering 4.0
Zhenjun Ming|Anand Balu Nellippallil|Ru Wang|Janet K. Allen|Guoxin Wang|Yan Yan|Farrokh Mistree
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents theoretical fundamentals for formulating design decisions in the context of industry 4.0Provides tools for architecting a knowledge-based platform for decision supportUtilises a knowledge-based engineering pers…pective to provide a .
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Design Engineering for Industry 4.0 (DE4.0) represents the 'human-cyber-physical view of the systems realization ecosystem 'that is necessary to accommodate the drivers of Industry 4.0 (IoX) and provide an open ecosystem for the real…ization of complex systems. Seamless integration of digital threads and digital twins throughout the product design, the development and fulfillment lifecycle; the ability to accommodate diverse and rapidly changing technologies; and the mechanisms to facilitate the creation of new opportunities for the design of products, processes, services, and systems are some of the desired characteristics of DE4.0.'Jiao, R., Commuri, S. Panchal, J., Milisavljevic-Syed, J, Allen, J.K., Mistree, F. and Schaefer, D., 'Design Engineering in the Age of Industry 4.0,' ASME Journal of Mechanical Design, 143(7), 070801, 25 pages.In keeping with the Design Engineering 4.0 construct the authors describe architecting a computer platform to support human designers make decisions associated with the realization of complex engineered systems. The platform is designed to facilitate end-to-end digital integration, customization and personalization, agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service.Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing acomputational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.This book is a valuable resource for researchers, design engineers, and others working on pushing the boundary of digitized manufacturing to include Design Engineering 4.0 principles in designing products, processes, and services. 260 pp. Englisch.
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Design Engineering for Industry 4.0 (DE4.0) represents the 'human-cyber-physical view of the systems realization ecosystem 'that is necessary to accommodate the drivers of Industry 4.0 (IoX) and provide an open ecosystem for the realization… of complex systems. Seamless integration of digital threads and digital twins throughout the product design, the development and fulfillment lifecycle; the ability to accommodate diverse and rapidly changing technologies; and the mechanisms to facilitate the creation of new opportunities for the design of products, processes, services, and systems are some of the desired characteristics of DE4.0.'Jiao, R., Commuri, S. Panchal, J., Milisavljevic-Syed, J, Allen, J.K., Mistree, F. and Schaefer, D., 'Design Engineering in the Age of Industry 4.0,' ASME Journal of Mechanical Design, 143(7), 070801, 25 pages.In keeping with the Design Engineering 4.0 construct the authors describe architecting a computer platform to support human designers make decisions associated with the realization of complex engineered systems. The platform is designed to facilitate end-to-end digital integration, customization and personalization, agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service.Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing acomputational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.This book is a valuable resource for researchers, design engineers, and others working on pushing the boundary of digitized manufacturing to include Design Engineering 4.0 principles in designing products, processes, and services. 260 pp. Englisch.
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Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing Feb 2023, 2023
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms…for decision support. Challenges associated with developing a computational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.
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Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing Feb 2022, 2022
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for dec…ision support. Challenges associated with developing a computational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.
Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun; Nellippallil, Anand Balu; Wang, Ru; Allen, Janet K.; Wang, Guoxin; Yan, Yan; Mistree, Farrokh
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