Internet of Things-Based Smart Systems in Industrial and Manufacturing Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".
Deadline for manuscript submissions: 24 February 2026 | Viewed by 162
Special Issue Editors
Interests: Internet of Things; industrial big data
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things; industrial big data; digital twin shop-floor; modeling and optimization of manufacturing systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue investigates the transformative role of IoT-based smart networks in revolutionizing industrial and manufacturing management, emphasizing the integration of cutting-edge technologies such as industrial big data analytics, 5G connectivity, generative AI, edge computing, and digital twins. The focus is on leveraging these advancements to enhance operational efficiency, sustainability, and adaptive decision-making in Industry 5.0 ecosystems. We welcome theoretical and applied research on real-time monitoring (enabled by 5G’s low-latency communication), predictive maintenance driven by industrial big data, generative AI for intelligent automation and design optimization, and resilient cyber–physical production systems. The purpose is to address emerging challenges, including managing large-scale datasets, as well as ensuring secure and scalable IoT architectures and ethical AI deployment, while showcasing IoT’s role in enabling agile, self-optimizing smart factories. By contextualizing IoT within the broader framework of Industry 5.0, this collection complements the existing literature by exploring the synergy between IoT, 5G, and generative AI—an underexplored nexus in current smart manufacturing research. It advances prior studies by offering novel insights into data-driven automation, cross-domain interoperability, and human-centric AI collaboration, thereby bridging gaps in scalability, sustainability, and innovation for next-generation industrial systems.
Dr. Shaohua Huang
Prof. Dr. Yu Guo
Guest Editors
Manuscript Submission Information
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Keywords
- IoT
- smart networks
- generative AI
- industrial big data
- edge computing
- 5G
- sustainable manufacturing
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