AI-Driven Smart Manufacturing and Industry 4.0: Technologies, Systems, and Applications
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: 30 June 2027 | Viewed by 25
Editors
Interests: manufacturing systems engineering; cloud manufacturing; lean manufacturing
Interests: cybersecurity; sensing; IoT; Industry 4.0; Industry 5.0
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of artificial intelligence (AI) technologies is transforming modern manufacturing systems and accelerating the evolution of Industry 4.0 toward more intelligent, autonomous, and adaptive industrial environments. AI-driven smart manufacturing integrates advanced computational intelligence with cyber–physical systems, industrial Internet of Things (IIoT), robotics, digital twins, cloud–edge computing, and big data analytics to optimize industrial operations, improve productivity, and enhance decision-making across the manufacturing lifecycle.
This Special Issue, entitled “AI-Driven Smart Manufacturing and Industry 4.0: Technologies, Systems, and Applications”, aims to gather high-quality original research and review articles addressing emerging methodologies, architectures, and practical applications of AI within smart industrial ecosystems. The Issue welcomes contributions exploring machine learning, deep learning, predictive maintenance, intelligent process monitoring, autonomous production systems, digital transformation, human–machine collaboration, industrial automation, and intelligent supply chain management.
Particular attention will be given to research addressing real-time data analytics, system interoperability, cybersecurity, energy-efficient manufacturing, sustainable production, and resilient industrial infrastructures. Contributions investigating AI-enabled optimization, fault diagnosis, quality control, robotics integration, and smart decision-support systems for manufacturing applications are also highly encouraged.
By bringing together interdisciplinary perspectives from manufacturing engineering, computer science, automation, data science, and industrial management, this Special Issue seeks to provide a comprehensive platform for discussing current challenges, technological innovations, and future directions in AI-driven Industry 4.0 systems. The collected contributions are expected to support researchers, engineers, and practitioners in advancing next-generation smart manufacturing technologies and intelligent industrial transformation.
We look forward to receiving your contributions.
Prof. Dr. F. Frank Chen
Dr. Mohammad Shahin
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing 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)
- smart manufacturing
- Industry 4.0
- Industrial Internet of Things (IIoT)
- digital twins
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