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Cyber-Physical Production Systems Integrated into Industry 4.0 and Industry 5.0

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 353

Special Issue Editors


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Guest Editor
Institute of Communication and Computer Systems, 106 82 Athina, Greece
Interests: Industry 4.0; Industry 5.0; smart manufacturing; cyber-physical systems; machine vision; deep learning; waste segregation

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Guest Editor
Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Interests: Industry 4.0; simulation modeling; smart operators; sustainable production and logistics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Materials and Production Department, Aalborg University, 9220 Aalborg East, Denmark
Interests: intelligent robotics; human-robot interaction; collaborative robots; multi-camera systems

Special Issue Information

Dear Colleagues,

Due to industrial automation, the integration of Cyber-Physical Production Systems (CPPS) with Industries 4.0 and 5.0 has emerged as a transformative paradigm. Industry 4.0 represents the fourth industrial revolution, characterized by the fusion of digital technologies, data-driven decision making, and the seamless interaction between physical and virtual components, while Industry 5.0 represents the reintroduction of sustainability, human-centricity, and resilience within manufacturing. The concept of Cyber-Physical Production Systems lies at the heart of innovation, which seamlessly integrate the physical processes of manufacturing with advanced digital technologies. This integration not only enhances efficiency and productivity, but also introduces new frontiers for innovation and customization in industrial processes. This Special Issue explores the fundamental principles and implications of incorporating CPPS into the broader frameworks of Industries 4.0 and 5.0, highlighting the synergies that drive industrial advancement.

Dr. Fotios K. Konstantinidis
Dr. Antonio Padovano
Dr. Dimitrios Chrysostomou
Prof. Dr. Antonios Gasteratos
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 4.0
  • Industry 5.0
  • cyber-physical system (CPS)
  • cyber-physical production system (CPPS)
  • cyber-physical sorting system (CPSS)
  • smart manufacturing
  • machine vision
  • deep learning
  • digital twin technology
  • Internet of Things (IoT) in manufacturing
  • sustainability
  • human-centric
  • agility
  • advanced manufacturing
  • smart factories
  • interconnected production systems
  • automation and robotics in manufacturing
  • intelligent manufacturing systems
  • data-driven decision making
  • cloud computing in manufacturing
  • edge computing in industrial processes

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Published Papers

There is no accepted submissions to this special issue at this moment.
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