Smart Factory Essentials
Smart Factory Essentials (1 day)
Manufacturers should consider establishing smart factory initiatives for several reasons, as there are numerous benefits associated with their implementation, where data and AI play a crucial role. In a smart factory, data is collected from various sources within the manufacturing process, such as sensors, machines, production lines, and packaged application systems. This data is then analyzed, processed, and utilized by AI algorithms to enable intelligent decision-making and optimization of operations. Key reasons and benefits of smart factory approaches are increased efficiency and productivity, enhanced quality, better traceability of production processes, cost reduction, improved safety and risk management, data-driven decision making, flexibility and adaptability, supply chain optimization, and sustainable manufacturing.
Overall, the adoption of smart factory technologies enables manufacturers to gain a competitive edge, improve operational efficiency, enhance product quality, and drive innovation. By harnessing the power of automation, data analytics, and connectivity, manufacturers can transform their operations and meet the demands of the modern industrial landscape.
In this course you will learn the essential aspects around Smart Factory, like PLCs and common OT communication protocols, how to transfer data between OT- and IT-environments, how to collect, process, store and master the prevailing big data streams, and which visualization techniques are most suitable. Since data analytics and AI algorithms play a crucial role in smart factory initiatives, we show how to X-ray, optimize and monitor manufacturing processes with modern process mining techniques, and what potential can be realized by using and operating machine learning and AI algorithms. Last but not least we present best practices in device management and AI model operations and management.
The theoretical topics of the training will be intensified by real-world examples and common smart factory use cases.
Course Outline
- Operational Technology (OT) vs. Information Technology (IT)
- Common communication protocols in OT
- OT-IT data transfer (components, protocols, formats, structures)
- Industrial data spaces: common data sources, data models, and data architectures
- Data visualization: fact-based understanding of key variables and phenomena underlying manufacturing
- How to take control of manufacturing processes with process mining
- The benefit of advanced data analysis: statistics, machine learning and AI for OEE optimization
- Smart Factory Orchestration: from device management to AI model management
Who should attend
Managers of production plants, production planning, and production operations. Data Scientists who want to apply their capabilities into practice in the field of AI-based quality assurance. Manufacturing Engineers who want to understand the benefits of data- and AI-driven manufacturing processes. Consultants whose objective is to put additional value on the latest innovative technology in the smart factory sector.
What you need to succeed
No prior knowledge required.
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