Recently, the Industry 4.0 revolution claims the need for a paradigm shift consisting of a massive adoption of Information and Communication Technologies by all factory departments (from business to production lines), to transform production and product delivery processes radically. I4.0 fosters a deep change in the rigid organization model of the factory. The multiple implications of the “connected factory" concept will lead the production environments to unexpected developments, impacting both OT and IT layers. Connected and interacting objects will populate the factories of the future.
In the prospected landscape, a progressive and decisive integration of the IT and OT layers is expected to occur, which practitioners are used to refer to as IT/OT convergence, stressing the shortening of the gap (both physical and conceptual) between the manufacturing processes running at the OT layer, and storage, networking, computing resources, and business-oriented software suites populating the IT layer.
In this context, emergent paradigms, approaches, and technologies like artificial intelligence (AI), privacy-enhancing technologies (PET), cybersecurity, blockchain (BC), Cloud Continuum, Zero Defect Manufacturing (ZDM), Zero Waste Manufacturing, Industrial Sustainability, IIoT Platforms, Advanced Service Orchestration in industrial deployments, 5G/6G communication, Digital Twins (DT), and metaverse are key enablers shaping the development of an IT/OT convergent smart factory.
The focus of SITE is on the convergence of IT and OT layers within the modern Industry 4/5.0 compliant factories, and the systems and technologies that ease or enable this revolutionary integration.
Topics of interest include, but are not limited to, the following:
- Application of Industrial Cloud Continuum.
- IIoT Platforms and Service Orchestration.
- 5G/6G communication for industrial deployments.
- Computing continuum for smart cities services.
- Digital Twins for industrial process or product monitoring.
- Edge data center deployment in industrial environments.
- ML- and AI-based approaches cloud/edge-based smart
city applications.
- AI-driven models, architectures, and frameworks for edge computing.
- Reliable communication protocols in industrial production lines.
- Design and evaluation tools for scalability and efficient resource allocation in Industry 4/5.0.
- ML-evaluation for automatic road anomaly detection and predictive maintenance.
- Models and paradigms for the management of cloud/MEC services within/between industrial data.
- Blockchain solutions for secure and reliable transactions between counterparts in data sharing/trading.
- Security and privacy techniques for IT/OT convergence in smart factory applications.
- Post-quantum security and privacy for Industrial applications.
- Zero Waste/Defect Manufacturing.
- IIoT for the sustainability of modern industrial production plants.
- Green Manufacturing in Industry 5.0 deployments.
- Unmanned Aerial Vehicle Networks in Industry 5.0 environments.
- Interoperability of Digital Twins in the manufacturing industrial process.
Submission Guidelines
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Authors are invited to submit original technical papers for publication in SITE 2024. Manuscripts must be written in English, in the IEEE double-column proceedings format, and their length should not exceed 6 pages (including tables, figures, references and appendices).
Authors can find the IEEE double-column conference proceedings template at the following link:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html
Paper Review and Publication
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All submitted manuscripts will be peer-reviewed by at least three reviewers. Accepted papers must be presented by at least one of their authors, who must also register for the conference. Only accepted and presented papers will appear in the CAMAD 2024 proceedings and submitted for inclusion to IEEEXplore.
Important Dates
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Submission deadline: June 30th, 2024
Notifications: July 15th, 2024
Camera Ready deadline: September 5th, 2024
Workshop Chairs
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Kubra Duran, Edinburgh Napier University
Jaime Galán-Jiménez, University of Extremadura
Riccardo Venanzi, University of Bologna
