How to teach digital transformation to enable advanced manufacturing
Advanced manufacturing training can improve understanding of required competencies, Industry 4.0, Industry 4.0 technologies and use of industrial data, according to a 1-hour engineering training course available starting Oct. 18.
- Virtual Training Week includes a session on importance of teaching digital transformation.
- Control architectures help turn data into information to make better business decisions using automation.
- Training helps an advanced manufacturing workforce to be more productive with less waste.
Advanced manufacturing training can help users of industrial automation better serve customers by maximizing machine uptime, shortening leads times and reducing scrap, according to a Oct. 18 Virtual Training Week session, “Engineering educators: Are you leveraging the power of digital transformation in the classroom?” Industry 4.0 technologies help advanced manufacturing improve productivity, and companies need to adequately train workforce to understand and accelerate use of related technologies, explains Ted Rozier, director of engineering, Festo Didactic Solution Center North America in the 1-hour course, which includes two video demonstrations. A live Q&A will answer attendees’ questions, a professional development hour credit is available, and the session will be archived for viewing for a year.
Progression, advantages of Industry 4.0, digital transformation
Industry 4.0 makes the automation of Industry 3.0 with use of cyber-physical systems and the Internet of Things (IoT), Rozier said, the convergence of physical, digital and virtual environments. Cyber-physical systems integrate physical processes, computation and networking. Control architectures need to turn data info information to help those in operations and other areas of the business what to do and when to do it.
Training helps today’s workforce progress through the digital transformation maturing index, from Lean manufacturing, to computerization and connectivity, visibility to see what’s happening, transparency to understand why it’s happening, predictive capacity to be prepared for what will happen, and adaptability and self-optimization of autonomous responses.
Rozer also explains data flow, importance of overall equipment effectiveness (OEE), and provides video demonstrations of automation training in action.
Mark T. Hoske is content manager, Control Engineering, CFE Media, email@example.com.
KEYWORDS: Industry 4.0, digitalization, engineering education
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