As many as 700 people attended the forum including POSCO Group affiliate employees, as well as those of POSCO’s major suppliers, outsourcing partners and AI-related professors. Notably, employees from Nastech and Korinox, where POSCO is carrying out smart factory support projects, participated as well.

POSCO CEO Ohjoon Kwon watching a presentation at the forum

“POSCO must continue to take up the challenge of implementing a smart POSCO in preparation for the dawning of the 4th Industrial Revolution. We will apply smart technologies to all processes of the steel mills, as well as to management areas such as finance, HR and purchasing to realize the concept of smart management,” stated POSCO CEO Ohjoon Kwon. “We will actively share the results of POSCO’s smartization process with our group affiliates and customers.”

Mi-hwa Park, head of the POSCO Information Planning Department added, “To realize a smart POSCO, we started the Smart Solution Council headed by our CEO last year, and identified 141 smart projects which applied Big Data and AI to solve practical problems. Approximately 600 employees participated in the projects and reduced costs by KRW 15.7 billion.” She added, “We will develop a POSCO-style SME smart factory model to support innovations for the manufacturing sites of our SME customers and suppliers. Furthermore, we will contribute to fostering SMEs and creating jobs by providing a lighter version of the PosFrame, developed by POSCO, as a customized smart platform for SMEs.”

POSCO CEO Ohjoon Kwon with the excellence award recipients

POSCO also recognized projects that applied Big Data and AI, for excellence in the steel production category. Out of the four, one improved the flatness of steel sheets and another provided improved technology for slab production. The “3D-based design/construction quality improvement” project that uses POSCO E&C’s Virtual Construction to predict risks, and the “power generation output through condenser performance diagnostics” project that can accurately detect errors in POSCO Energy’s power plants were also among those selected.

Forum participants were given an opportunity to experience POSCO’s smart solution platform PosFrame firsthand. PosFrame combines operational insights and IT technology to collect Big Data as well as process and monitor data in a way that allows participants to experience the reality of “Smart POSCO.” It was one of the most popular features of the forum among participants.

POSCO CEO Ohjoon Kwon looking at a PosFrame platform

POSCO also announced its plan to standardize the technologies and processes developed through smart projects, turn them into a technical package and actively incorporate them into its “Smart Solution” business to create added value.

Ki-won Na, CEO of Shinheung Automotive Co., Ltd., an automotive parts maker, said, “We received a lot of ideas applicable to our operations from the case studies presented today, and if we learn about POSCO’s Big Data analysis and utilization techniques in more detail and apply them, I expect it will greatly contribute to improving our productivity.”

POSCO joined hands with POSTECH to launch an advanced AI course earlier this year and is currently training 25 internal AI experts so that they can apply their AI knowledge in their field to solve problems and thus lead the way for a smart POSCO.

Also, POSCO has begun providing free AI education to young, underprivileged jobseekers in July and is now training 100 youths per year on both theoretical and practical knowledge. POSCO is also planning to support the customized SME smart talent development project, including practical education on AI and Big Data skills, for its customers and suppliers.

POSCO is actively planning to complete its smartization, meaning it will apply its “Smart Factory” to all processes of the steel mills, and carry out its “Smart Solution” business, which combines POSCO’s product technologies and services with smart technologies.

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CEO Kwon of POSCO greets Chairman & CEO Jeffrey Immelt of GE to discuss ways to integrate GE’s smart factory solutions into POSCO’s steel and non-steel factories

In late February, Kwon made trips to Germany and the US to visit Siemens and GE factories. He met with executives to discuss best practices and share thoughts on potential collaborations. At that time, Kwon and Immelt were not able to meet so they took advantage of Immelt’s time in Korea for a face-to-face meeting.

Kwon and Immelt discussed different ways that smart technologies could be incorporated into POSCO’s steel and non-steel factories. By combining GE’s strength in equipment manufacturing and POSCO’s expertise in the steel industry they hope to create more advanced smart industrial solutions. POSCO, in particular, was looking to introduce smart features to their material, energy, and construction businesses through this partnership.

Executives from POSCO, including CEO Ohjoon Kwon, discuss smart factory solutions with GE Chairman & CEO Jeffrey Immelt

After meeting with Immelt, Kwon left for Indonesia to attend the Korea-Indonesia Economic Development Forum in Jakarta. Kwon also visited PT Krakatau POSCO, located in Cilegon, and encouraged field employees to continue their hard work to strengthen their competitiveness in the region.

PT Krakatau POSCO is POSCO’s first overseas integrated steel mill and is capable of producing a total capacity of 3 million tons. Since 2013, it has cut down on operating losses and increased its competitiveness through innovative cost-reduction activities and new technology integration.

Last year, the overseas steel business division’s operating profit reached KRW 218.2 billion, up by KRW 648.1 billion from 2015. This is a result of increased sales of high-margin products and intentional efforts to cut costs.

POSCO plans to focus on strengthening its financial structure by increasing the sales of its World Premium Products. Through this effort, they hope to continuously expand their presence in overseas steelmaking while optimizing the process of locally sourcing product materials.

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Automotive coated steel, one of POSCO’s World Premium Products (WPP), is a high-grade product that requires a high level of sophisticated technology. Only 20 out of 800 steel companies in the world can produce it at this time. Last year, POSCO sold approximately 9 million tons of automotive steel sheets, accounting for 10% of the global automotive steel sheet market.

The ‘Smart Solution for Coating Weight Control Based on AI‘ is a technology that drastically reduces the deviation of coating weight by using artificial intelligence to precisely control the Continuous Galvanizing Line (CGL), the primary technology used in automotive steel sheet production.

In particular, this technology uses an automated control technology that predicts the coating weight in real time and accurately meets the target coating weight by combining the coating weight production model of the artificial intelligence technique with the control model of the optimization technique.

A developer and worker are seen in the operating room monitoring the optimal coating weight predicted through artificial intelligence. POSCO succeeded in developing the ‘Smart Solution for Coating Weight Control Based on AI‘ through a joint industry-university effort, and applied it to POSCO 3CGL last January. With artificial intelligence, it is now possible to collect hundreds of different types of data in real time, as well as accurately predict and control target coating weights.

Coating weight control is a highly-sophisticated technology that keeps the thickness of the coating layer consistent even when operating conditions change at the request of automakers. When coating weight is controlled manually, quality deviates depending on the skill level of the worker, inevitably resulting in significant amounts of wasted zinc. However, the plating process is now automatically controlled by artificial intelligence, increasing the quality of POSCO’s automotive coated steel while decreasing production costs. These new automated processes have also helped to increase work efficiency and productivity with workers.

Since the inauguration of CEO Ohjoon Kwon in 2014, POSCO has been preparing to take the lead in smart solutions by integrating AI into its smart factories. Last June, POSCO Technical Research Laboratories identified the need for an automated coating weight control system and collected the relevant data after discussing with several departments. POSCO worked with Prof. Jon-seok Lee of the Department of Systems Management Engineering at Sungkyunkwan University in Seoul, Korea, to develop the artificial intelligence coating weight prediction model algorithm. Prof. Lee is an expert in statistics, data mining, machine learning and optimization methodologies. He collaborated with POSCO researchers to develop the coating weight prediction program after analysis of the plating process.

Starting in July 2016, a beta program was introduced for two months. After successful completion of the beta test, POSCO Technical Research Laboratories added an additional program to ensure quality control even under changing operating conditions.

The core AI technology that was applied to the coating weight control automation is a self-learning software that utilizes big data deep learning techniques. This method operates in real time allowing the AI program to stay up-to-date by analyzing hundreds of different types of data generated during the plating process. It can accurately predict and control coating weight through real-time, even if equipment has been replaced or operating conditions have changed.

The completed coating weight control automation solution was applied to POSCO’s 3CGL line in Gwangyang on a trial basis for approximately 2 months, enhancing accuracy and stability. Normally, when operating manually, deviations in the coating weight can extend up to 7g per m², but with POSCO’s AI-based technology, this number is reduced to 0.5g per m². After a technical verification process, the technology was incorporated into the 3CGL line on January 5.

To maintain its position as a global leader in automotive coated steel technology, POSCO is planning to apply this coating weight control automation solution to other CGLs at home and abroad, like the recently opened Thailand CGL. POSCO is also taking steps to introduce artificial intelligence technology to the manufacturing processes of other steel products while also continuing to build smart factories that can help POSCO continue to be a leader in the steel industry.

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