Korean Appliance Suppliers Bring AI to Press, Assembly and Logistics

DK will combine product, die, equipment and quality data so AI can predict the best production conditions for each product. Automatic die replacement, press settings, robot tool changing and AI vision inspection will be linked. The AI recommends process conditions, a worker reviews and applies them, and production and inspection results feed back into the model. The aim is to replace settings that relied on operator experience with data-based ones.

DK expects to cut changeover time by more than 30% and raise productivity by over 12%. It also wants to bring the defect rate down from 11.5% to 9.5% or less.

UBC links large makers and suppliers

Manufacturing AI company UBC will work with LG Electronics' Production Engineering Research Institute, the Korea Institute of Industrial Technology and others through the end of 2029 on an integrated autonomous manufacturing solution for high-mix, variable appliance supply chains. Trials will cover Styler clothing care units and industrial air conditioners.

The core idea is to connect manufacturing data from large companies and smaller suppliers to manage assembly, inspection, welding and logistics together. Assembly robots handle parts, humanoid robots inspect products using multiple sensors and AI, and welding robots adjust position and speed to the work状態. Autonomous mobile robots move parts to match production pace and inventory. AI analyzes the data to predict defects and propose process corrections, with the goal of optimizing quality and logistics across the whole line.

Industry observers expect the work to lower the barrier to AI adoption for mid-sized and small manufacturers and to tighten quality control between brands and suppliers. One industry official said the push is about connecting manufacturing data rather than simply installing robots.