An intelligent manufacturing system is a manufacturing system that can automatically adapt to different production requirements and changing environments. The success of intelligent manufacturing depends on the timely acquisition, distribution and utilization of various types of data from machines, processes and products. In recent years, with the rapid development of big data and artificial intelligence technology, how to apply these new technologies in intelligent manufacturing systems has attracted a lot of scholars' attention. The main objective of this Research Topic is to create a platform for scientists, engineers, and practitioners to present their latest theoretical and technological advancements in the field of artificial intelligence in intelligent manufacturing.
The focus of this themed article collection will be on artificial intelligence in intelligent manufacturing presenting considerable novelties in the theoretical background or practical design. The solicited papers should provide original ideas and new approaches, with a clear indication of the advances made in problem formulation, methodology, or application.
Subtopics include, but are not limited to, the following research areas and technologies:
- Novel artificial intelligence technologies;
- Data mining and management methods for massive volumes of data;
- Modelling and optimization of complex industrial processes;
- Machine learning applications to manufacturing automation;
- Online measurement, process control and optimization for cyber-physical systems;
- Artificial intelligence tools and applications for intelligent manufacturing systems;
- Artificial intelligence industrial applications.
Keywords:
Artificial intelligence, Manufacturing systems, Data mining, Process control, Applications
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
An intelligent manufacturing system is a manufacturing system that can automatically adapt to different production requirements and changing environments. The success of intelligent manufacturing depends on the timely acquisition, distribution and utilization of various types of data from machines, processes and products. In recent years, with the rapid development of big data and artificial intelligence technology, how to apply these new technologies in intelligent manufacturing systems has attracted a lot of scholars' attention. The main objective of this Research Topic is to create a platform for scientists, engineers, and practitioners to present their latest theoretical and technological advancements in the field of artificial intelligence in intelligent manufacturing.
The focus of this themed article collection will be on artificial intelligence in intelligent manufacturing presenting considerable novelties in the theoretical background or practical design. The solicited papers should provide original ideas and new approaches, with a clear indication of the advances made in problem formulation, methodology, or application.
Subtopics include, but are not limited to, the following research areas and technologies:
- Novel artificial intelligence technologies;
- Data mining and management methods for massive volumes of data;
- Modelling and optimization of complex industrial processes;
- Machine learning applications to manufacturing automation;
- Online measurement, process control and optimization for cyber-physical systems;
- Artificial intelligence tools and applications for intelligent manufacturing systems;
- Artificial intelligence industrial applications.
Keywords:
Artificial intelligence, Manufacturing systems, Data mining, Process control, Applications
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.