Leveraging AI in Industrial Automation
Arden Dies, a Stockport-based die manufacturer, has integrated artificial intelligence and automation into its production processes. This initiative followed the hosting of two digital interns via the Made Smarter Digital Internship Programme.
Internship Program Overview
The three-month paid placements engaged students with expertise in data science and robotics. Interns analyzed workflows, evaluated CAD/CAM systems, and identified opportunities for automation using AI and machine learning techniques.
Practical AI Applications on the Factory Floor
According to Sarah Poynter, operations director at Arden Dies, the internships provided focused, practical insight into AI applications. She emphasized that the goal is to implement tools that genuinely enhance manufacturing operations, rather than adopting technology without purpose.
Student Contributions and Insights
Data science student Deniz Beyazgul helped production teams understand AI integration into everyday operations. Robotics and automation student Husan Vokhidov applied machine learning to real CAD/CAM data, demonstrating how AI can optimize industrial workflows in a live environment.
Support From Made Smarter North West
The internships were supported by Made Smarter North West, a government-backed program promoting digital transformation for SMEs. Since 2019, the initiative has assisted over 2,500 manufacturers in the North West, providing both digital skills and practical project experience.
Industry Perspective and Future Implications
Donna Edwards, program director of Made Smarter North West, highlighted that these internships combine fresh perspectives with practical skills. For industrial automation, such programs accelerate adoption of AI, PLC integration, and factory automation technologies.
Conclusion
Arden Dies’ approach demonstrates how SMEs can use digital internships to explore AI, machine learning, and automation. Practical, hands-on experience with industrial control systems fosters innovation and supports the transition to smarter, more efficient manufacturing processes.
Application Scenarios
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CAD/CAM process optimization
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Production workflow automation
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Industrial robotics integration
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AI-driven predictive maintenance