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Smart Manufacturing and Industry 4.0: 3rd Edition

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 15

Special Issue Editors


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Guest Editor
Department of Automotive, Mechanical and Manufacturing Engineering, Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON L1H 7K4, Canada
Interests: precision manufacturing; advanced manufacturing technologies; digital manufacturing; precision manufacturing; measurement uncertainty; 3D coordinate metrology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechatronics and Mechanical Systems Engineering, Universidade de São Paulo, São Paulo 2231, Brazil
Interests: CAD/CAM; computer graphics; Industry 4.0; cutting and packing and optimization problems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart manufacturing processes and systems have been receiving a great amount of attention through the latest innovations, ongoing efforts, and best practices in the Industry 4.0 era. The concept of the smart factory—along with its cyber-physical systems, intelligent support for manufacturing decision-making, and intelligent inspection to monitor production health—has become increasingly central to modern industrial transformation.

This includes in situ data collection and fusion of sensor information for manufacturing processes, collaborative robots, self-configuration and self-diagnosis, the Internet of Things for shop floors, intelligent prescriptive and preventive maintenance, simulation-assisted process control and digital twins, big data analytics for manufacturing systems and processes, on-demand and customized production through hybrid additive and subtractive manufacturing, autonomy and autonomous vehicles, smart quality assurance and intelligent inspection, data-driven and model-based prognostics, and zero-defect production.

This Special Issue of Applied Sciences aims to showcase new initiatives, applications, and research advances in smart manufacturing processes and systems that address the needs of the fourth industrial revolution.

Dr. Ahmad Barari
Dr. Marcos de Sales Guerra Tsuzuki
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

  • smart manufacturing
  • intelligent manufacturing
  • Industry 4.0
  • digital manufacturing
  • digital metrology
  • intelligent support systems
  • manufacturing process control
  • smart quality assurance
  • intelligent inspection
  • predictive and prescriptive maintenance
  • model-based prognostics
  • vision systems
  • collaborative robots
  • manufacturing health management
  • artificial intelligence for manufacturing processes
  • big data analytics
  • sensor information
  • digital twins
  • manufacturing virtualization and simulation
  • self-configuration and self-diagnosis
  • Internet of Things
  • self-optimization models
  • scheduling and sequencing
  • blockchain technology
  • resource efficiency
  • circular economy tracking
  • autonomy
  • autonomous vehicles
  • drones

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