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30 October 2021
International Journal of Computer Integrated Manufacturing
Special Issue Editor(s)
Prof. Shengzong Zhou,
Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences Fuzhou, China
Assoc. Prof. Nebojsa Bacanin,
Faculty of Informatics and Computing Singidunum University Belgrade, Serbia
Artificial Intelligence in Advanced Manufacturing
With the increased integration of advances in robotics and automaton, sensors and the Internet-of-Things (IoT), and high-speed computing performance, manufacturing industry is entering a period of substantial innovation and change. These technologies make products and processes become smarter and connected, but at the same time also lead to pervasive digitalization of factories and challenges manufacturing enterprises to re-consider and re-evaluate their current operations and future strategic directions. Over the past few decades, the topic of Artificial Intelligence (AI) in manufacturing has attracted widespread attention in the scientiﬁc community because of its huge potential in improving the efficiency of various processes. AI plays a vital role from big data to full automation. It can be explored to solve problems with uncertain, time-variant, and complex features, which in turn can help manufacturers to improve design, manufacturing, and handling of processes and products, and thus signiﬁcantly improve productivity, quality, ﬂexibility, safety, and cost. However, though a wide array of AI tools has already been implemented to address a diverse set of problems throughout manufacturing industry, many gaps still exist that should be addressed to ensure that AI can be seamlessly integrated into factory operations.
The 2021 International Conference on Artificial Intelligence and Advanced Manufacturing aims to bring together researchers and scientists from artificial intelligence and advanced manufacture, researchers from various application areas to discuss problems and solutions in the area, to identify new issues, and to shape future directions for research.
In addition to excellent papers recommended by the conference, this special issue also encourage submissions that cover the following topics, but are not limited to:
- Extension to the theories of artificial intelligence and advanced manufacturing
- Machine learning techniques and metrics for Intelligent manufacturing
- Big data analytics in manufacturing
- Neural networks and applications for manufacturing automation
- AI for manufacturing system optimization
- AI in human-robot collaborative manufacturing
- AI for process monitoring, diagnostics, prognostics
- AI for manufacturing process control
- AI applications in smart maintenance
- AI in product lifecycle management (PLM)
- Sustainable manufacturing
- Internet + manufacturing
- Application of artificial intelligence in transportation, energy and bioengineering, etc
All submissions will be judged for their appropriateness to the journal’s remit and the novelty of their theoretical and practical research contributions.
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- Deadline for manuscript submission: October 30, 2021
- Reviewer reports: December 30, 2021
- Revised paper submission: January 30, 2022
- Final manuscript submission: February 28, 2022
- Approximate publication date: March 30, 2022
- In the submission system, the authors need to indicate that the paper is for the special issue “AIAM2021”.
- The title of the paper on the system should start with “(AIAM2021)” an example title would be: “(AIAM2021) Smart manufacturing of widgets on CNCs”.
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