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

Architecting A Knowledge-Based Platform for Design Engineering 4.0

Architecting A Knowledge-Based Platform for Design Engineering 4.0

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Design Engineering for Industry 4.0 (DE4.0) is a human-cyber-physical view of the systems realization ecosystem that accommodates the drivers of Industry 4.0 and provides an open ecosystem for the realization of complex systems. It seeks to integrate digital threads and digital twins throughout the product design, development, and fulfillment lifecycle, accommodate diverse and rapidly changing technologies, and facilitate the creation of new opportunities for the design of products, processes, services, and systems.

Format: Hardback
Length: 241 pages
Publication date: 11 February 2022
Publisher: Springer Nature Switzerland AG


The term "Design Engineering for Industry 4.0" (DE4.0) refers to the human-cyber-physical perspective of the systems realization ecosystem that is required to support the drivers of Industry 4.0 (IoX) and provide an open environment for the development of complex systems. Some of the desired features of DE4.0 include seamless integration of digital threads and digital twins throughout the product design, 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.

In their article titled "Design Engineering in the Age of Industry 4.0," the authors discuss the architecting of a computer platform to assist human designers in making decisions related to the realization of complex engineered systems. The platform is intended to promote end-to-end digital integration, customization, personalization, agile collaboration networks, open innovation, co-creation, and crowdsourcing, as well as product servitization and anything-as-a-service. Recognizing that simulation models are abstractions of reality, the authors adopt a satisficing strategy rather than an optimization strategy. They provide fundamentals and then describe tools for architecting 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, comparison, optimization) are discussed, and examples of design decision-making in various domains are provided.

Overall, the article provides valuable insights into the role of Design Engineering in the Age of Industry 4.0 and the challenges and opportunities that arise in the development of computational platforms for decision support in complex engineered systems.

Weight: 559g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030905200
Edition number: 1st ed. 2022

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