Industry 4.0 and Industry 5.0: Simulators and Algorithms in Manufacturing Processes and Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 53
Special Issue Editors
Interests: machine learning; intelligent manufacturing; social manufacturing; federated learning
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent product design; intelligent product manufacturing; multi-objective optimization; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Dolleagues,
The rapid evolution of digital technologies has ushered in a new era for manufacturing and industrial systems, often referred to as Industry 4.0. This revolution is characterized by the integration of cyber-physical systems (CPS), Internet of Things (IoT), artificial intelligence (AI), big data, and advanced robotics, enabling the creation of smart factories. Industry 4.0 emphasizes automation, real-time data exchange, and decentralized decision-making to optimize manufacturing processes and supply chain operations. As the industrial landscape continues to evolve, the emergence of Industry 5.0 brings a renewed focus on the collaboration between humans and machines. Industry 5.0 emphasizes human-centric solutions that integrate automation with human intelligence, creativity, and decision-making capabilities. It also places a strong emphasis on sustainability, personalization, and the societal impact of technological advancements.
This special issue on “Industry 4.0 and Industry 5.0: Simulators and Algorithms” seeks high-quality works focusing on exploring the key role of simulators and algorithms in the transition from Industry 4.0 to Industry 5.0. Simulators serve as powerful tools for modeling, optimizing, and testing industrial processes in a virtual environment, enabling industries to reduce risks, improve efficiency, and facilitate innovation. Meanwhile, algorithms, particularly those leveraging AI and machine learning, are essential for optimizing resource allocation, enhancing predictive maintenance, and supporting human-machine collaboration.
Topics include, but are not limited to:
- Development and application of simulators for smart manufacturing systems
- Algorithms for predictive maintenance, resource optimization, and decision-making in Industry 4.0 and 5.0
- Human-centric AI algorithms in Industry 5.0
- Integration of IoT, CPS, and AI for real-time monitoring and control
- Sustainable manufacturing algorithms and energy-efficient solutions
- Case studies demonstrating the transition from Industry 4.0 to Industry 5.0
- Federated learning applications in Industry 4.0 and 5.0
- Digital twins for real-time industrial process monitoring and control;
- Robotics and human–robot collaboration algorithms in Industry 5.0;
Dr. Wei Guo
Prof. Dr. Jiewu Leng
Guest Editors
Manuscript Submission Information
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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.
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Keywords
- Industry 4.0
- Industry 5.0
- smart manufacturing
- digital twin
- human–machine collaboration
- industrial simulators
- AI algorithms
- cyber-physical systems (CPS)
- predictive maintenance
- federated learning
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