Applications of Artificial Intelligence in Intelligent Manufacturing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 290
Special Issue Editor
Special Issue Information
Dear Colleagues,
As a cornerstone of industrial advancement, manufacturing is experiencing substantial transformations driven by technological innovations, societal demands, and a heightened focus on sustainability. A vital aspect of this evolution is the integration of Artificial Intelligence (AI) in intelligent manufacturing systems, which form the foundational structures of production processes. The advent of Industry 4.0/5.0 has initiated a new epoch characterized by the convergence of digitalization, automation, cobots, and data analytics, with AI playing a central role in enhancing these technologies.
The application of AI in manufacturing methodologies has been pivotal in improving efficiency, precision, and adaptability. AI-driven technologies such as machine learning, predictive analytics, generative intelligence, and autonomous systems are being leveraged by researchers and practitioners to redefine traditional manufacturing paradigms and to integrate these technologies into manufacturing systems, such as in the case of lean manufacturing. These innovations facilitate real-time decision-making, optimize production processes, and enable the development of smart factories that can respond dynamically to changing conditions. Sustainability, a crucial issue within the industry, is recurrently addressed through AI applications that promote green manufacturing practices and innovative process designs. AI helps monitor and reduce resource consumption, manage waste, and optimize energy usage, thus supporting regulatory and societal-driven green initiatives.
This Special Issue of Electronics seeks to explore and present the latest findings on the applications of AI in intelligent manufacturing, highlighting key trends shaping this essential industry's future. Contributions are invited that investigate these topics, providing a detailed understanding of how AI influences the development of manufacturing methodologies. The goal is to offer a comprehensive perspective on how AI-integrated manufacturing processes and systems can align with waste reduction, quality control, and sustainability, thereby promoting a more responsible and eco-friendly industry. To advance the state of the art and disseminate recent developments in AI applications in manufacturing, this Special Issue aims to gather substantial contributions through high-quality original research or review articles, ensuring widespread dissemination via the MDPI’s open access platform after an anonymous peer-review process. Relevant topics include, but are not limited to, the following:
- Applied AI and ML in manufacturing;
- Sustainable manufacturing enabled by AI and ML;
- Quality control via AI and ML;
- Integration of Lean Six Sigma with AI and ML;
- Waste reduction via AI and ML;
- Integration of lean manufacturing with AI and ML;
- AI in the manufacturing enterprise;
- Integration of supply chain logistics and management with AI and ML.
Dr. Mohammad Shahin
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
- lean AI
- sustainable AI
- generative AI
- Industry 4.0/5.0
- machine learning
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