Advanced Manufacturing Systems and Technologies in Industry 4.0

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 197

Special Issue Editor


E-Mail Website
Guest Editor
School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China
Interests: additive manufacturing of conformal electronics; intelligent manufacturing technologies and systems

Special Issue Information

Dear Colleagues,

In the last decade, the world has witnessed a remarkable shift towards digitalization and the rapid development of Industry 4.0. This paradigm shift has brought about significant advancements in advanced manufacturing systems and technologies. Augmented reality (AR), virtual reality (VR), the Internet of Things (IoT), and digital twin paradigms have expanded our view of the world, allowing us to interact with the physical world through digital simulations and enhancements. These advancements have led to the creation of new environments that simplify operations, enhance productivity, and improve the reliability of manufacturing systems. The integration of these technologies has paved the way for advanced manufacturing systems, enabling greater efficiency, precision, and safety in production processes.

This Special Issue will focus on the novel methodologies, tools, and techniques that can facilitate the successful transition to advanced manufacturing systems and technologies in Industry 4.0 and provide a platform for researchers to share their innovative ideas and findings.

This Special Issue will present the latest developments, challenges, and opportunities in advanced manufacturing systems and technologies in Industry 4.0 and provide a platform for researchers to share their innovative ideas and findings. For this Special Issue, original research articles and reviews are welcome. Potential research topics include (but are not limited to) the following:

  • The integration of cyber–physical systems and intelligent manufacturing;
  • The Internet of Things for smart factories;
  • Digital twin and virtual reality in manufacturing;
  • Cloud computing for real-time data analysis;
  • Cognitive computing in manufacturing optimization;
  • Human–machine interaction and collaborative robotics;
  • Data analytics and optimization in smart factories;
  • Additive manufacturing of flexible and conformal electronics.

Prof. Dr. Jin Huang
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. Electronics is an international peer-reviewed open access semimonthly 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

  • Industry 4.0
  • smart manufacturing
  • manufacturing system
  • digital technologies
  • real-time data analysis
  • IoT

Published Papers

This special issue is now open for submission.
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