Artificial Intelligence Technologies and Applications for Industry 4.0 and Smart Manufacturing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 1554
Special Issue Editors
Interests: intelligent manufacturing; robotics and automation; application of artificial intelligence; structural optimization; mechanism innovation; solid mechanics
Interests: smart manufacturing; digital transformation; sustainability; circular economy; automation systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are thrilled to announce the call for papers for our upcoming Special Issue, which will focus on Artificial Intelligence Technologies and Applications for Industry 4.0 and Smart Manufacturing.
In today's rapidly evolving technological landscape, Industry 4.0 and smart manufacturing stand at the forefront of innovation, reshaping traditional industrial processes and revolutionizing how goods are produced and serviced. Artificial Intelligence (AI) technologies are central to this transformation and hold immense potential for optimizing production processes, enhancing efficiency, and driving unprecedented levels of automation.
This Special Issue aims to explore the intersection of AI technologies and smart manufacturing, showcasing groundbreaking research, innovative methodologies, and practical applications poised to redefine the industrial landscape. From predictive maintenance and quality control to virtual metrology and autonomous robotics, we invite contributions highlighting the diverse array of AI-driven solutions shaping the future of manufacturing.
Topics of interest include, but are not limited to, the following:
- AI-driven predictive maintenance and condition monitoring;
- Autonomous robotic systems for manufacturing and logistics;
- Intelligent process optimization and control;
- Data-driven quality assurance and defect detection;
- Adaptive scheduling and resource allocation;
- Smart sensors and IoT integration for real-time monitoring and decision-making;
- AI-enabled supply chain management and logistics optimization;
- Human–robot collaboration and augmented reality interfaces;
- Ethical considerations and societal implications of AI in manufacturing.
We welcome original research articles, review papers, case studies, and perspectives that offer valuable insights into the application of AI technologies in Industry 4.0 and smart manufacturing.
Warm regards,
Prof. Dr. Chih-Hung Li
Prof. Dr. Antonella Petrillo
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
- AI-driven manufacturing
- Industry 4.0 innovation
- smart factory solutions
- automation and AI integration
- intelligent process optimization
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