Industry 5.0—the Human Factors in Semi-automated Manufacturing

Dear Colleagues,

Manufacturing companies face two major trends affecting their business: intelligent automatization and collaboration. After the first wave of digitization, new and modernized technologies such as integrated sensors, advanced robotics, and artificial intelligence led to the so-called Smart Manufacturing as part of Industry 4.0. Collaboration between the human operators and machines are completed thanks to the collaborative robots. Companies have realized that they still need humans at the shop floor besides high-level automation. This realization creates a new generation of the industrial revolution. Industry 5.0 brings human workers back to the factory floors. The Fifth Industrial Revolution will pair humans and machines to utilize human creativity to further increase process efficiency by combining workflows with intelligent systems. While the primary concern in Industry 4.0 is about automation, Industry 5.0 will be a synergy between humans and autonomous machines.

With the rapid development of innovative technologies, such as artificial intelligence methods, big data and cloud computing, the new concept of Industry 5.0 has been revolutionizing production and logistics systems by introducing collaborative processes and data-based operator support (so-called Operator 4.0). This Special Issue aims to disseminate advanced research in the theory and application of collaboration in the manufacturing industries (also known by some experts as Industry 5.0).

The main focus of this session is the invitation of high-quality, state-of-the-art research papers that deal with challenging issues in Industry 5.0. We solicit original papers of unpublished and completed research not currently under review by any other conference/magazine/journal.

Topics of interest include, but are not limited to:

• Human–machine interface in IIoT for industrial applications;
• Digital Twin, Device Models, Adaptive- and Automation-Models;
• Human–machine interfaces (HMI) and SCADA supervisory systems;
• Human factors, industrial ergonomics, and safety in smart maintenance;
• Industrial applications of the Internet of Things;
• AI- or ML-based maintenance;
• Risk analysis for Industry Production Systems;
• Smart Manufacturing;
• Smart logistics related to industrial applications;
• Cyberphysical systems;
• Industrial sensor networks;
• Combinations of sensors/sensor networks and Augmented Reality in industrial environments;
• Real-time locating in production and logistics;
• Process modelling and simulation.

Dr. Tamás Ruppert
Prof. Dr. János Abonyi
Prof. Dr. Andrey Morozov
Dr. Nasser Jazdi
Guest Editors

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