SK텔레콤, 한국경영인증원과 중소제조기업 스마트팩토리 도입 지원 맞손
스마트팩토리 도입을 위한 데이터 활용 기반의 훈련 교육모델을 함께 기획·개발할 예정
*아래는 위 기사를 구글 번역기로 번역한 영문 기사의 [전문]이다. [Below is the [full text] of an English article translated from the above article with Google Translate.
SK Telecom meets with Korea Management Certification Institute to support the introduction of smart factory for small and medium-sized manufacturing companies
Planning and developing a training education model based on data utilization for the introduction of smart factory
[Introduction of the case/ Reporter Park Yeon-pa] = SK Telecom (CEO Park Jeong-ho) conducted an education and training project (K-Digital training) related to data collection and utilization for the introduction of smart factory by Korea Management Certification Agency (President Hwang Eun-ju) and small and medium-sized manufacturing companies. It was announced on the 13th that it has signed a joint business agreement (MOU).
SKT and the Korea Management Certification Agency plan to jointly plan and develop a training model based on data utilization for the introduction of a smart factory for selected small and medium-sized manufacturing companies with less than 300 employees in the future.
The Korea Management Certification Institute is a certification body that provides knowledge services such as ISO certification and management evaluation, as well as a government-recognized'smart factory level verification system' verification agency. It has been designated as'center' and is conducting a smart factory support project.
In this support project, SKT provides free grandview solutions to small and medium-sized factories for experience, and conducts training on using smart factory data. Through this, small and medium-sized manufacturing companies will be able to have the ability to predict and maintain major facilities that can affect production and quality based on data generated from major facilities at the actual site. Predictive maintenance is to predict the presence of abnormalities in the condition of the facility or the future condition, and to properly maintain and repair it.
The Korea Management Certification Institute was in charge of designing all processes of collecting/preprocessing/analysis/utilization of data for each major process of the factory through customized training by injecting a smart factory consultant at the site.
This training project is conducted through a training process of up to 8 days, and the detailed process is △SKT Grand View program installation and Korea Management Certification Institute training program development (2 days) △ Process data collection and facility predictive maintenance training using Grand View (2 days) ~4 days) △Consulting for on-site digitalization (2 days) will be conducted.
The most important thing when implementing a smart factory is that the operating personnel directly acquire data utilization capabilities, contributing to production efficiency and cost reduction. It is expected to be an opportunity to realize this.
In addition, it is a great advantage that data-based process activities are possible by collecting and analyzing operation data of each facility. For example, the presence or absence of equipment accessories can be repaired in advance, thereby minimizing the cost of repairs due to aging and deterioration of the equipment and loss due to production disruption, and increasing the convenience of equipment operation through remote control, enabling automation of equipment management tasks.
Meanwhile, the two companies will actively cooperate in various smart factory solution education projects and on-site commercialization based on the “Metatron Grand View”.
SKT plans to promote commercialization of the method of preloading the facilities of small and medium-sized manufacturing companies by upgrading the facility-based AI model by analyzing the data collected by the smart factory on a cloud basis.
SK Telecom, Chief Executive Officer Nak-Hoon Choi of Smart Factory, said, “Through this project, we expect that small and medium-sized factories will be able to develop their own data-based work capabilities at manufacturing sites undergoing rapid changes. “We will continue to strive to grow together with small and medium-sized manufacturing companies by experimenting with technologies that can be grafted into smart factories through our advanced ICT technology and applying them to the process.”
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