Artificial Intelligence Systems for Intelligent Manufacturing
A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).
Deadline for manuscript submissions: 30 September 2026 | Viewed by 874
Special Issue Editors
Interests: industrial automation and control; industrial informatics; modeling, simulation and optimization; cyber-physical systems; intelligent manufacturing systems; machine learning; system engineering; software engineering
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent systems and control; computational intelligence; fuzzy systems for modeling; monitoring and fault diagnosis of complex industrial systems; learning algorithms for identification; monitoring; performance analysis and anomaly detection in large industrial systems; big data analysis for behavior prediction of complex systems; data compression and decision making; unsupervised and supervised learning and similarity analysis; clustering and classification of large data sets; evolving systems
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) systems are at the heart of Industry 4.0, revolutionizing the manufacturing sector by making it more intelligent, autonomous, and sustainable. AI in manufacturing can be broadly categorized into Conventional AI and Generative AI, each serving distinct roles.
Conventional AI, including rule-based systems, expert systems, and traditional machine learning, is task-driven, excelling in structured, rule-based, and task-specific problem-solving. In contrast, Generative AI is creativity-driven, generating new content based on the patterns it has learned. With Generative AI, manufacturing is evolving beyond automation into intelligent self-optimization, enabling factories to become smarter and more adaptable.
The Special Issue "Artificial Intelligence Systems for Intelligent Manufacturing" focuses on integrating AI systems to enhance efficiency, flexibility, sustainability, and decision-making, thereby ensuring competitiveness in the digital era. We invite papers exploring advancements in:
- Conventional AI for automation, predictive maintenance, decision-making, classification, recognition, optimization, personalization, and rule-based systems.
- Generative AI for content creation, creative assistance, data augmentation, simulation, modeling, code generation, and human-like interaction.
Preference will be given to research that offers sustainable and efficient solutions in Generative AI for next-generation intelligent manufacturing, particularly those that leverage AI agents and multi-agent systems. This issue brings together cutting-edge research and case studies demonstrating how AI-driven systems are transforming traditional manufacturing into intelligent, adaptive, and highly efficient production environments.
Prof. Dr. Idilia Batchkova
Prof. Dr. Gancho L. Vachkov
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 250 words) can be sent to the Editorial Office for assessment.
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. Journal of Manufacturing and Materials Processing is an international peer-reviewed open access monthly 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 1800 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
- artificial intelligence (AI)
- intelligent manufacturing
- machine learning
- deep learning
- generative AI
- industrial automation
- predictive maintenance
- process optimization
- quality control
- digital twin
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