Digital Factory-IIoT Special Area covers a broad thematic spectrum including Industrial IoT, Additive Manufacturing, digitalization, digital twin & virtual reality, Logistics 4.0; industrial IT, software and hardware; production engineering and services.
Digital Factory - IIoT Product Groups:
- Industrial IoT
- Artificial Intelligence
- Augmented Reality
- Virtual Reality
- Cloud & Big Data Management
- Additive Manufacturing
- Digital Twin
- Logistics 4.0 Solutions
- Product Life Cycle Management
- Virtual Product Development
- Enterprise Resource Planning
- Machine Learning & Communication
- Industrial Security
- Supply Chain Management
Meet Logistics 4.0
Logistics 4.0 is one of the most popular trending topics of the WIN Eurasia Digital Factory-IIoT. Digital technology is revolutionizing in-plant logistics. Suppliers of automation systems, power transmission and control equipment and industrial IT solutions can now access additional target groups, e.g. in the warehousing sector and in the area of stationary/mobile logistics.
Featuring contributions from plant suppliers and engineers, it provides an overview of the innovative processes and new solutions that characterize Additive Manufacturing. Hardware such as 3D printers and new materials for Additive Manufacturing are the technical interface to the special area Digital Factory-IIoT with the related topics of lightweight engineering and automation.
Industrial Internet of Things (IIoT)
Industrial IoT focuses on systems integration and IT solutions in various ways. WIN Eurasia Digital Factory-IIoT is taking place alongside the new trade fair IAMD – Integrated Automation, Motion & Drives, thus linking it to Industry 4.0, IoT, predictive maintenance, M2M, wireless technology, smart components and image processing. IT forms an important common link.
Enterprice Resource Planning (ERP)
At ERP process decision- makers in industry can identify the smart components and systems they need in order to accomplish the transformation process. Digital Supply Chain Management reflect the global trends in engineering and product efficiency. IT has become an essential link in the industrial value chain.
AI or artificial intelligence has taken on new significance in industrial circles. The combination of new algorithms in machine learning and knowledge-based processing offers a lot of potential for speeding up many Industry 4.0 processes. Large volumes of data are involved in digital production processes which can be evaluated centrally through machine learning and fed back into the system to facilitate self-optimization, predictive maintenance and other functions.