Integration of Industrial Machines into Smart Manufacturing, Digital Twin Technology for Industry 4.0 Machinery

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

Deadline for manuscript submissions: 28 February 2026 | Viewed by 328

Special Issue Editor


E-Mail Website
Guest Editor
Department of Electrical Engineering, Euromed Polytechnique School, Euromed University of Fez, Fez, Morocco
Interests: embedded systems; renewable energy technologies; electric mobility; smart grid; applied artificial intelligence

Special Issue Information

Dear Colleagues,

The advent of smart manufacturing and Industry 4.0 has paved the way for a new era, where modern technologies, such as Artificial Intelligence (AI), cloud computing, Virtual Reality (VR), Digital Twin (DT), etc., play crucial roles in driving this industrial revolution. Various methods have been developed and implemented for both in-service industrial machines and design processes. Industry 4.0 methodologies are applied to new machines and processes at the design stage, as well as to existing machines and processes to adapt them to Industry 4.0 standards. This transition marks the shift from traditional industry practices to the advanced frameworks of Industry 4.0.

This Special Issue aims to synthesize research and recent advancements in methods and technologies developed for smart manufacturing and Industry 4.0. It focuses on the improvement of machine design and integrating existing industrial machines into the Industry 4.0 ecosystem. The methods covered include Industrial Internet of Things (IIoT), Digital Twin, energy efficiency, AI-based and hybrid algorithms, Virtual Reality, and advanced Maintenance, all aimed at enhancing performance and adapting machines to Industry 4.0 standards.

Dr. Chakib Alaoui
Guest Editor

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 2400 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

  • smart manufacturing
  • Industry 4.0 methodologies
  • Industrial Internet of Things (IIoT)
  • Artificial Intelligence (AI)
  • cloud computing
  • Virtual Reality (VR)
  • Digital Twin (DT)

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

26 pages, 2429 KiB  
Article
Exploratory Integration of a Digital Twin with a Data Space: Case Study with the Asset Administration Shell
by Francisco Zenza, Luís P. Ferreira, Carlos Gonçalves, Ricardo Ribeiro and Ana L. Ramos
Machines 2025, 13(9), 751; https://doi.org/10.3390/machines13090751 - 22 Aug 2025
Abstract
In the context of Industry 4.0, technologies such as Digital Twin (DT) and Data Space (DS) have emerged as a revolution in the way physical assets are represented in simulation models and how their information and data are represented in cloud repositories. The [...] Read more.
In the context of Industry 4.0, technologies such as Digital Twin (DT) and Data Space (DS) have emerged as a revolution in the way physical assets are represented in simulation models and how their information and data are represented in cloud repositories. The aim of this work was to investigate the technologies of DTs and DSs, with a focus on their application in an industrial context, delving into the approaches and difficulties of the integration of both technologies, so that it can be explored and answered the respective challenges. To this end, literature reviews on these topics were explored by reading various sources, as well as analyzing different methodologies for implementing and integrating the two technologies. The result was a description of the main methodologies for integrating DTs with DSs, with the addition of a practical application using AASX Package Explorer, this being a platform enabling the virtual representations of industrial equipment in the molds of DT technologies, containing the association with server tools from other developers and specifications. Full article
Back to TopTop