Special Issue "Advances in Digital Twins for Manufacturing"

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: 15 August 2023 | Viewed by 2382

Special Issue Editors

Dr. Michael Grieves
E-Mail Website
Guest Editor
Department of Engineering, University of Central Florida, Orlando, FL 32816, USA
Interests: manufacturing technology; life cycle assesment
Dr. John Vickers
E-Mail Website
Guest Editor
NASA, Washington, DC, USA
Interests: manufacturing; materials; digital twin

Special Issue Information

Dear Colleagues,

The proposed applications of digital twins have exploded in the last half decade. While applicable to all aspects human activities, digital twins are especially useful for products throughout their entire lifecycle, especially in manufacturing. The ability to effectively and efficiently manufacture products is critical to the products’ success. By trading information for wasting physical resources, digital twins can enable manufacturing to be as lean as possible.

The use of digital twins in manufacturing is important in two aspects. First, digital twins can be used in the manufacturing process itself, from creating the manufacturing process to monitoring and controlling the entire manufacturing process from raw material to final assembly and shipment. Digital twins can be used at all levels of production, from individual equipment to work cells to assembly lines to the entire manufacturing facility. Second, capturing information about how individual products have been manufactured is critical for creating the digital twin instance (DTI), which will then be connected to that product for the rest of the product’s life.

Dr. Michael Grieves
Dr. John Vickers
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital twin predictive versus periodic maintenance
  • digital twin factory replication for monitoring and control
  • digital twin for front running simulation (FRS) of manufacturing for problem and failure avoidance
  • digital twin instance (DTI) creation in manufacturing
  • digital-twin-enabled manufacturability during product development
  • digital-twin-enabled manufacturing bill of process creation
  • digital twins for legacy manufacturing equipment
  • digital twin interoperability of different factory machines and equipment
  • digital twin metaverses and platforms for manufacturing facilities
  • digital-twin-based specification/quality manufacturing control

Published Papers (2 papers)

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Research

Article
The Anatomy of the Internet of Digital Twins: A Symbiosis of Agent and Digital Twin Paradigms Enhancing Resilience (Not Only) in Manufacturing Environments
Machines 2023, 11(5), 504; https://doi.org/10.3390/machines11050504 - 22 Apr 2023
Cited by 1 | Viewed by 655
Abstract
Due to the growing environmental and geopolitical challenges nowadays, which are causing supply chain complications, industry and society are facing significant new objections. As a complement and extension to the technology-driven premises of Industry 4.0, the value-driven Industry 5.0 focuses on society and [...] Read more.
Due to the growing environmental and geopolitical challenges nowadays, which are causing supply chain complications, industry and society are facing significant new objections. As a complement and extension to the technology-driven premises of Industry 4.0, the value-driven Industry 5.0 focuses on society and the environment. Human centricity, sustainability, and resilience should become a more integral part of both industrial and societal revolutions. One of the enabler technologies for both is the Digital Twin (DT). In order to make DTs intelligent, they must become active, online, goal-seeking, and anticipatory. To meet these requirements, the characteristics of Multi-Agent Systems (MASs) can be employed. This paper contributes to the bilateral emergence of the two industrial paradigms and establishes an approach for the provision of Intelligent Digital Twins (IDTs) within the Internet of Digital Twins (IoDT). Initially, a DT reference model aligned with already established Industry 4.0 reference models enriched with the goals of Industry 5.0 is developed, followed by an outline of how IDTs can be realized with the characteristics of MAS. The work is substantiated by an architectural design for IDTs choreographing marketplace-oriented production processes with a subsequent prototypical implementation, followed by a proof of concept. Full article
(This article belongs to the Special Issue Advances in Digital Twins for Manufacturing)
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Article
Implementing Digital Twins That Learn: AI and Simulation Are at the Core
Machines 2023, 11(4), 425; https://doi.org/10.3390/machines11040425 - 27 Mar 2023
Viewed by 929
Abstract
As companies are trying to build more resilient supply chains using digital twins created by smart manufacturing technologies, it is imperative that senior executives and technology providers understand the crucial role of process simulation and AI in quantifying the uncertainties of these complex [...] Read more.
As companies are trying to build more resilient supply chains using digital twins created by smart manufacturing technologies, it is imperative that senior executives and technology providers understand the crucial role of process simulation and AI in quantifying the uncertainties of these complex systems. The resulting digital twins enable users to replay history, gain predictive visibility into the future, and identify corrective actions to optimize future performance. In this article, we define process digital twins and their four foundational elements. We discuss how key digital twin functions and enabling AI and simulation technologies integrate to describe, predict, and optimize supply chains for Industry 4.0 implementations. Full article
(This article belongs to the Special Issue Advances in Digital Twins for Manufacturing)
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