SKT and Korea Polytechnic University Collaborate on Smart Factory Implementation in Ansan Sihwa Industrial Complex
Published2020.05.22 16:45Smart factory training, costs, and follow-up research support
6 months of Metatron Grandview provided to participating companies
SK Telecom announced on the 22nd that it has signed a business agreement with the Korea University of Technology and Engineering (KUT), under the Ministry of Trade, Industry and Energy, for the 'Smart Factory Transformation Support Project for Excellent Small and Medium-sized Enterprises in Ansan Sihwa Industrial Complex'.
Director Ryu Ok-hyun of the Korea Institute of Technology and Education [Photo = SK Telecom]
The two organizations plan to foster the Ansan-Sihwa Industrial Complex into a smart factory cluster by providing integrated support, including education, costs, and follow-up research, to approximately 4,000 family companies of the Korea Polytechnic Institute within the complex. About 25% (10,000) of domestic manufacturing companies are concentrated in the Sihwa Industrial Complex.
SK Telecom provides 'Metatron Grandview,' a self-developed 5G-based big data analysis solution tailored for manufacturing companies, and Korea Polytechnic University utilizes it to build and operate educational spaces on campus.
Both parties plan to provide practical training that will help participating companies utilize smart factory solutions by delivering smart factory solution know-how in an environment similar to the actual site, such as installing a conveyor belt in the training space and demonstrating the quality inspection process of parts manufactured using Metatron Grandview.
SK Telecom plans to provide Metatron Grandview to participating companies for free for six months, and to 100 of them, it will also provide IoT equipment and installation costs necessary for building smart factories.
In addition, both parties plan to cooperate on the advancement of Metatron Grandview and the development of follow-up technologies. SK Telecom plans to analyze the data collected through this project using machine learning to enhance existing solutions and develop additional solutions required by participating companies.
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