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Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop

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TLDR
A digital twin-driven manufacturing cyber-physical system (MCPS) for parallel controlling of smart workshop under mass individualization paradigm is presented and addresses a bi-level online intelligence in proactive decision making for the organization and operation of manufacturing resources.
Abstract
With increasing diverse product demands, the manufacturing paradigm has been transformed into a mass-individualized one, among which one bottleneck is to achieve the interoperability between physical world and the digital world of manufacturing system for the intelligent organizing of resources. This paper presents a digital twin-driven manufacturing cyber-physical system (MCPS) for parallel controlling of smart workshop under mass individualization paradigm. By establishing cyber-physical connection via decentralized digital twin models, various manufacturing resources can be formed as dynamic autonomous system to co-create personalized products. Clarification on the MCPS concept, characteristics, architecture, configuration, operating mechanism and key enabling technologies are elaborated, respectively. A demonstrative implementation of the digital twin-driven parallel controlling of board-type product smart manufacturing workshop is also presented. It addresses a bi-level online intelligence in proactive decision making for the organization and operation of manufacturing resources.

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Citations
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Characterising the Digital Twin: A systematic literature review

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Industry 4.0, digitization, and opportunities for sustainability

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Review of digital twin about concepts, technologies, and industrial applications

TL;DR: A comprehensive and in-depth review of these literatures to analyze digital twin from the perspective of concepts, technologies, and industrial applications is conducted.
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A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

TL;DR: This work sets out to be a guide to the status of DT development and application in today’s academic and industrial environment by selecting 123 representative items together with 22 supplementary works to address those two perspectives, while considering technical aspects as a fundamental.
References
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Journal ArticleDOI

Digital twin-driven product design, manufacturing and service with big data

TL;DR: In this paper, a new method for product design, manufacturing, and service driven by digital twin is proposed, and three cases are given to illustrate the future applications of digital twin in three phases of a product respectively.
Book ChapterDOI

Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems

TL;DR: Digital twins as discussed by the authors link the physical system with its virtual equivalent to mitigate the problematic issues due to human interaction in the process of creation, production, operations, and disposal of a system.
Journal ArticleDOI

From goods to service(s): Divergences and convergences of logics

TL;DR: In this paper, a transition from goods to services is discussed and the implications for marketing theory and practice of a full transition to a service-logic are explored, which is consistent with and partially derived from a similar transition found in the business marketing literature.
Journal ArticleDOI

Data-driven smart manufacturing

TL;DR: The role of big data in supporting smart manufacturing is discussed, a historical perspective to data lifecycle in manufacturing is overviewed, and a conceptual framework proposed in the paper is proposed.
Journal ArticleDOI

Shaping the digital twin for design and production engineering

TL;DR: In this article, the authors propose a reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing, and address model conceptualization, representation, and implementation as well as applications along the product life cycle.
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