Intelligent Factory 4.0: Advanced Production and Automation Systems
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 52203
Special Issue Editors
Interests: smart factory; production planning and control; automatic data identification systems
Special Issues, Collections and Topics in MDPI journals
Interests: factory automation; industrial informatics; networked embedded systems; multi agent-based production control; industrial networks (incl. Wireless connectivity)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
The Fourth Industrial Revolution (Industry 4.0) capitalizes on the implementation of digitization and automation in manufacturing and production systems. These solutions make it possible to improve the efficiency of production processes, and thus, overall industrial activity. Therefore, it is important to design and control increasingly complex industrial cyber-physical systems.
In this regard, the main goal of this Special Issue is to promote advanced research in the field of intelligent manufacturing systems within the context of Industry 4.0. These studies should focus on the integration, development, and improvement of production processes. Submissions detailing research in the field of the automation of production processes, and the development of digital twins are highly desirable. Practical experiences, through the description of case studies and original solutions as part of industrial activities, will bring significant value. Additionally, theoretical works, including methodological and procedural considerations about smart manufacturing systems and their detailed processes, are of interest to this Special Issue.
Dr. Krzysztof Żywicki
Prof. Dr. Jose L. Martinez Lastra
Guest Editors
Manuscript Submission Information
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Keywords
- Digital twins (including product and production systems)
- Smart factory solutions and emergent technologies
- Artificial intelligence in machine prediction and control
- Industrial cyber-physical systems
- Manufacturing process simulation and automation
- Computer-integrated manufacturing (CIM)
- Advanced simulation methods in the organization and management of production systems
- Knowledge-based production and system organization
- Industrial informatics
- Embedded intelligence at production runtime.
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