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Architecting A Knowledge-Based Platform for Design Engineering 4.0

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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 (Gebundene Ausgabe, Englisch)

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Beschreibung

"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 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. 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. Weniger zeigen

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Produktinformationen

Technische Daten

Erscheinungsdatum

11.02.2022

Sprache

Englisch

EAN

9783030905200

Herausgeber

Springer International Publishing

Sonderedition

Nein

Autor

Zhenjun Ming, Anand Balu Nellippallil, Ru Wang, Janet K. Allen, Guoxin Wang, Yan Yan, Farrokh Mistree

Seitenanzahl

241

Auflage

Einbandart

Gebundene Ausgabe

Autorenporträt

Zhenjun Ming is an Assistant Professor of the School of Mechanical Engineering at Beijing Institute of Technology (BIT). He received his PhD in Mechanical Engineering and his Bachelor’s degree in Industrial Engineering, both from BIT. Zhenjun Ming's research interests include knowledge- -based systems, decision making in engineering design, collective intelligence and self-organizing systems. He devotes himself to merging Information Technology (IT) and Operation Technology (OT) to deliver useful, effective, and efficient tools and approaches for supporting human decisions in the design of cyber-physical-social systems. He is a winner of the "2015 NSF/ASME Student Design Essay Award". He has spent 20 months working with Professors Farrokh Mistree and Janet K. Allen as a visiting scholar at the University of Oklahoma (Norman), on a China Scholarship Council (CSC) sponsored project - Knowledge-Based Platform for Decision Support in the Design of Engineering Systems. He has publishedone monograph, ten journal papers and eight conference papers.

Schlagwörter

Decision-Based Design, Knowledge-Based Platform, Decision Support Systems, Designing Design Processes, System Architecture, Decision Making, Collaborative Design, Cloud Based Design, Robust Design, Industry 4.0

Thema-Inhalt

TBD - Konstruktion, Entwurf UYQE - Wissensbasierte Systeme, Expertensysteme TGP - Fertigungstechnik und Ingenieurwesen UGC - Computer-Aided Design (CAD) KJT - Unternehmensforschung KJMD - Management: Entscheidungstheorie

Höhe

235 mm

Breite

15.5 cm

Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH

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