Opportunities for Industry 4.0/5.0: AI-Driven Data Analysis, Process Optimization and Automation
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 249
Special Issue Editors
Interests: smart manufacturing; quality and reliability engineering; electronics packaging and PCB assembly; data mining
Interests: smart manufacturing; optimization; modeling; linear programming; decision-making; fuzzy set theory; neutrosophic set theory; machine learning
Special Issue Information
Dear Colleagues,
The advent of Industry 4.0 and the emerging concepts of Industry 5.0 are revolutionizing the industrial landscape by integrating advanced technologies such as artificial intelligence (AI), big data analytics, and automation. Industry 4.0 focuses on the digitization and interconnectivity of manufacturing processes, enabling smart factories with enhanced operational efficiency and productivity. Meanwhile, Industry 5.0 aims to harmonize human–machine collaboration, emphasizing sustainable and personalized manufacturing. These advancements are transforming industries by optimizing production processes, reducing costs, and fostering innovation, thereby creating unprecedented opportunities for growth and development.
This Special Issue on “Opportunities for Industry 4.0/5.0: AI-Driven, Data Analysis, and Process Automation” seeks high-quality works focusing on the latest advancements and applications of AI, data analysis, and automation in the context of Industry 4.0 and 5.0. We invite researchers and practitioners to submit original research articles, reviews, and case studies that explore the theoretical foundations, methodologies, and practical implementations of these technologies. Topics include, but are not limited to, the following:
- AI and machine learning for predictive maintenance and fault detection;
- Big data analytics for process optimization and decision-making;
- Cyber–physical systems and their role in smart manufacturing;
- Internet of Things (IoT) applications in industrial automation;
- Human–robot collaboration and co-working environments;
- Advanced manufacturing technologies and smart factories;
- Data-driven quality control and assurance in production;
- Sustainable and energy-efficient industrial processes;
- Decision-making models and optimization in industrial processes;
- Fuzzy logic and its applications in Industry 4.0/5.0;
- Case studies and practical implementations of Industry 4.0/5.0 technologies;
- Challenges and future directions in AI-driven industry transformation.
This Special Issue will provide a comprehensive platform for disseminating cutting-edge research and practical insights into the transformative power of AI, data analysis, and automation in modern industrial practices.
Dr. Chien-Yi Huang
Dr. Amirhossein Nafei
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
- Industry 4.0
- Industry 5.0
- artificial intelligence (AI)
- data analysis
- process automation
- machine learning
- predictive maintenance
- cyber–physical systems
- internet of things (IoT)
- optimization
- fuzzy logic
- decision-making
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