AI-Supported Methods and Process Modeling in Smart Manufacturing
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 15 May 2025 | Viewed by 1759
Special Issue Editors
Interests: data-driven intelligent manufacturing technology; intelligent manufacturing system modeling and scheduling optimization; robot structure design and optimization; digital twin technology
Special Issue Information
Dear Colleagues,
The Special Issue on "AI-Supported Methods and Process Modeling in Smart Manufacturing" aims to highlight the recent advancements in the application of artificial intelligence (AI) for enhancing smart manufacturing practices. The integration of AI technologies, such as machine learning and deep learning, has revolutionized manufacturing systems by enabling predictive modeling, process optimization, and autonomous decision-making. These advancements have improved the efficiency, reliability, and adaptability of manufacturing processes.
This Special Issue invites research on AI-based methods for process monitoring, predictive maintenance, real-time control, and optimization across various manufacturing sectors. The focus is on both theoretical and practical contributions that drive the development of intelligent and adaptive manufacturing solutions, leveraging the power of AI for industrial transformation. Topics include, but are not limited to, the following:
- AI-driven process modeling and optimization;
- predictive maintenance and fault detection;
- machine learning applications in manufacturing;
- autonomous decision-making systems;
- real-time process control and monitoring;
- integration of AI in Industry 4.0 frameworks;
- AI-enhanced resource and energy efficiency in manufacturing.
Dr. Minghai Yuan
Dr. Fengque Pei
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. Processes 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 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
- predictive maintenance
- process modeling
- dynamic scheduling
- real-time process control and optimization
- autonomous decision-making
- manufacturing optimization
- adaptive manufacturing systems
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