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Towards Industry 5.0: Enabling Technologies, Challenges and Research Opportunities

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: 20 January 2025 | Viewed by 108

Special Issue Editors


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Guest Editor
Department of Electronics, Information and Bioengineering, Polytechnic of Milan, 20133 Milan, Italy
Interests: electrical and electronic measurements

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Guest Editor
Faculty Engineering Sciences, Hochschule Mittweida - University of Applied Sciences, 09648 Mittweida, Germany
Interests: manufacturing materials; manufacturing technologies; machining; laser machining; 3D printing; DOE
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The basic concept of a sustainable and resilient digital factory establishes a reliable human–machine coevolution relationship through AI, digital technologies, and collaborative robotics. This relationship is crucial for ensuring that human workers and automated systems can work together seamlessly, enhancing productivity while maintaining safety and well-being.

In the context of digitalization and the circular economy, a significant challenge for policymakers and managers is to deploy profitable technologies while simultaneously safeguarding human well-being and environmental sustainability. This dual objective requires a delicate balance, ensuring that technological advancements do not come at the expense of social and ecological responsibilities.

This concept synthesizes the Industry 5.0 paradigm, which goes beyond the traditional Industry 4.0 focus on automation and data exchange. Industry 5.0 emphasizes human-centric approaches, leveraging the integration of digital technologies and automation to create strategies centered around Digital Twins and human Digital Twins in future manufacturing systems.

An important issue that requires attention in the industrial environment, and in particular in the transition, is the characterization and validation of measurement apparatus equipped with AI algorithms fed by smart sensors. These advanced measurement systems are essential for supporting the development and operation of Digital Twins and human Digital Twins, ensuring accurate, reliable data that drive informed decision making.

Prof. Dr. Loredana Cristaldi
Dr. Flaviana Tagliaferri
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. Applied Sciences 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 5.0
  • digital technologies
  • automation
  • manufacturing systems

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