ISSUE Manufacturing Industry: the backbone of Korean economy. But its SMEs are facing significant challenges.

The United Nations Industrial Development Organization (UNIDO) announces the countries’ ranking of manufacturing competitiveness every year. The Republic of Korea entered 17th in 1990 and made it to the Top 10 in 2003. In 2017, it ranked 4th. It took Korea just 28 years to jump from 17th to 4th — a truly remarkable leap forward. The products of the manufacturing industry make up 90 percent of total exports, and domestic jobs created by the industry add up to over 4.5 million. As of 2017, the GDP portion of the nation’s manufacturing industry stands at 30.4 percent — higher than that of China (29.3 percent). In this respect, it is evident that the manufacturing industry has played a significant role in the rapid growth of Korean economy.

However, Korea’s manufacturing industry is said to be facing huge challenges. The business in the manufacturing industry — including steel, shipbuilding, and automotive — have reached the maturity stage, and are struggling against fierce competition amid overcapacity in the global market. Besides, There has been an increasing number of issues regarding the ecosystem of the manufacturing industry in recent years, such as promoting balanced growth between large companies and SMEs. The industry is being flooded with new technologies of the Fourth Industrial Revolution — such as Big Data, the Internet of Things (IoT), and Artificial Intelligence. There are concerns that these technologies might widen the disparity between large companies and SMEs. Eventually, the gap in knowledge, information, and technology could lead to economic polarization.

According to OECD statistics, Korea is one of the countries with the largest productivity gap between large companies and SMEs. The labor productivity of SMEs relative to large companies recorded 53.8 percent in 1988 but fell to 32.5 percent in 2014. On the scale of R&D expenditures, the gap between the two gradually widened over time as well. These gaps led to a huge difference in business performance, which in turn resulted in the disparity of labor, resources, and R&D investment capacity. This kind of repeated cycle is fatal to the industrial ecosystem vulnerable to its instability.

POSCO has an important role here. The World Economic Forum announced POSCO as a ‘Lighthouse Factory’ for pioneering the manufacturing industry by applying core technologies of the Fourth Industrial Revolution. There are 44 lighthouse factories around the world and POSCO is the first and only Korean company on the list.

So, POSCO came up with a solution: establishing and pursuing shared growth programs that enable SMEs to become smart together. Since POSCO has the competitiveness that transforms the huge steelworks into a lighthouse factory, the company is stepping forward, more than willingly, to share its competitiveness with SMEs in a bid to strengthen the industrial ecosystem.

SOLUTION A POSCO-type Shared Growth

At POSCO, the term ‘Shared Growth’ isn’t a new concept. The company started its first Shared Growth activities in the late 1990s. In 2005, POSCO established an organization dedicated to the purpose and currently operates a total of 33 Shared Growth programs. The “Benefit Sharing” system, which is run by the government and participated by 472 companies nationwide, is known to be first launched by POSCO in 2004.

Among the many Shared Growth programs, POSCO focalizes on the POSCO-type Productivity Innovation as an effort to bridge the gap between large companies and SMEs.

The ‘POSCO-type Productivity Innovation’ program is an activity to transfer QSS (Quick Six Sigma), a POSCO’s own manufacturing innovation technique, and smart factory technology successfully built by POSCO. To facilitate it, POSCO is to contribute 20 billion KRW over five years and the government adds 10 billion KRW to run the program. So far, POSCO-type Productivity Innovation activities look similar to those of other companies.

However, delving into the details of the program, you might find something interesting — the program consists of two steps. The first step is ‘smartization consulting to enhance competence,’ and the second is ‘support service to build a smart factory’. Those two approaches might seem quite similar at first glance, but there is a reason why POSCO operates the program in this way. POSCO strives hard to teach how to fish rather than just give the fish itself.

Let’s say that building a smart factory is like making smart fishing spots and fishing gears. Good tools and fisheries are important, but before that, the fishers also need training. In the manufacturing industry, the importance of the workforce is paramount, so a smart factory can be completed only when the workforce becomes smart as well. For companies that need this fundamental change in structure, step 1 (smartization consulting) is implemented instead of building the smart factory straight away. POSCO carries out step 2 (support service to build a smart factory) for those companies that have already gone through innovation and are expected to create synergy with the build of a smart factory. The competitiveness and productivity innovation that POSCO would like to share lies here: a people-centered smart factory.

 SOLUTION STEP 1  Smartization Consulting to Enhance Competence

‘Smartization consulting to enhance competence’ is an improved version of POSCO’s QSS Innovation activities that had been carried on from 2013 to 2018. QSS Innovation is an industrial movement to improve the productivity of the manufacturing workplace. ‘Smartization consulting’ also uses the QSS as a consulting tool, but this activity concentrates on changing the SMEs’ fundamental structure and lay the foundation for smartization prior to build a smart factory. Thus, the project not only enables innovation in productivity but also help detect areas that require a smart factory. As of 2019, POSCO had carried out consulting projects in 108 companies and plans to expand to 110 companies in 2020.

 SOLUTION STEP 2  Support Service to Build a Smart Factory

In the second step of the program, POSCO Group specialists help build a smart system that is suitable for the company. At this point, the surrounding environment and the scale of the company are taken into consideration. The provided services include monitoring facilities, MES, and ERP, etc. A customized system — according to the SMEs’ smartization level — is proposed and built, with POSCO and the government each bearing 30% of total expenses. If the project cost is less than 20 million KRW, the total amount is borne by the POSCO and the government — without the burden of SMEs.

In most ‘smart factory building support’ provided by large companies, the support ends with just installing the system. But POSCO’s support can be differentiated since it reshapes the mind-set of the workforce in step 1, and then builds the smart factory in step 2. It is an ideal program, not just for establishing smart facilities but also for nurturing an intelligent workforce as well. Though there are some cases where the first and second steps of the program are conducted independently, POSCO plans to maximize synergies by implementing both steps as an integrated program. POSCO provided supports for 110 companies last year, and 120 companies will be supported this year. Targets include POSCO suppliers, partner and client companies, POSCO Group suppliers, and also companies that have no business transactions with POSCO.

“Shouldn’t our company be of a certain scale to get consulting from POSCO?” The answer is no. For the smaller SMEs, POSCO plans to introduce “Mini QSS” initiating this year. POSCO is to carry out consulting for smaller companies as well so that these companies can easily start innovative activities that are essential for growth.

※ Solution Case Study

However, the Lighthouse Factory POSCO does not stop at simply leading the introduction of the Fourth Industrial Revolution technologies. What’s more? Here are the three factors that make POSCO stand out.

① Challenging the Impossible — POSCO’s Smart Blast Furnace

An unmanned storehouse or an automotive parts assembly factory run by robots could be the first thing that comes to mind when one hears the word ‘AI factory.’ Another might think that Artificial Intelligence could be applied only in specific areas, like the information technology industry. A blast furnace is a gigantic facility with a height equivalent to a 40-story building. On the inside, it is full of a mixture of solids and liquids, so turning it off or ‘looking’ inside seems impossible. Due to these many factors, applying AI to a blast furnace and making it ‘smart’ was considered nearly impossible.

POSCO stood up to this challenge. In 2016, the term ‘Fourth Industrial Revolution’ began to take its place in the industry. POSCO was one step ahead, but not in a hurry. It moved on to Step-by-step digitization and smartization with caution and care. At first, POSCO tried to do this with the technology of a global IT company but did not get satisfactory results. The new technology alone wasn’t enough. However, when POSCO’s unique expertise, intuition, and knowledge — along with its field experts — were combined with it, the advanced AI blast furnace could be born.

▲ The AI blast furnace is made with the combination of vast, sophisticated data, and the experience and intuition of POSCO experts. Deep learning enables optimal results and automates them to reduce human errors and increase productivity.

POSCO field experts — the technicians and engineers — standardized the main variables that determine the state of the blast furnace into Big Data. They enabled the blast furnace to conduct deep learning to extract optimal result value by imitating their know-hows accumulated for over 30 years. Facilities were also steadily improved so that the IoT could replace the manual work. As a result, POSCO boosted the daily production of molten iron by 240 tons. Additionally, workers could focus on advanced work for more creative performance. POSCO saved 250 billion KRW by carrying out 321 smart tasks — including the AI blast furnace — for the past four years.

Through the AI blast furnace, POSCO was able to break away from the old concepts of steel mills. POSCO’s “Technology for the automated control of blast furnace based on deep learning AI” is currently registered and protected as the National Core Technology of Korea (August 2019). POSCO is currently establishing smart factories not only in the blast furnace but also in the overall steelmaking, rolling, and surface treatment process and is creating high-quality smart steelworks.

② POSCO Smart Factory: A Collaboration Of Academia, SMEs, And Start-ups

There is another special feature behind the Lighthouse Factory POSCO — the collaboration of academia, SMEs, and startups in establishing the Smart Factory. As seen below, the World Economic Forum acknowledged POSCO’s effort in forming the collaboration model.

▲ A World Economic Forum article stating the reason POSCO was chosen as a Lighthouse Factory.

POSCO is actively cultivating AI experts in-house and is working with POSTECH for the cause. POSTECH has the best faculty of the artificial intelligence field in Korea. POSCO AI Expert Course, which began in 2017, is a program where selected outstanding POSCO personnel receive training from POSTECH professors. This course has resulted in more than 60 POSCO AI experts in three years. These AI experts are working to build smart factories in the work field.

The collaboration included SMEs and start-ups as well. POSCO developed the AI blast furnace with ‘ECMiner’ since 2016. ECMiner is an SME specializing in data mining*. It created a system that can automatically identify, analyze, and maintain the combustion condition of the blast furnace by combining its data mining technology with POSCO’s accumulated data. In the past, the combustion status was left to the manual labor of workers, checking through the wind hole, and judging by experience. However, with this system, the data can now be taken care of automatically. It also maintains the appropriate combustion level of the blast furnace, which reduces the amount of coal injected. This enables an overall cost reduction.
*Data mining: A technology that looks for hidden, valid, and potentially useful patterns in huge data sets, extracts feasible information, and makes decisions accordingly.

The collaboration resulted in a win-win for both POSCO and ECMiner. POSCO succeeded in creating an AI furnace with Korean technology, and ECMiner also benefited from the experience of processing huge amounts of data at POSCO. All academia, SMEs, and start-ups that participated in the building of POSCO Smart Factory, including ECMiner, can help construct a new one in another factory based on technology experienced at POSCO. This is expected to accelerate the proliferation of smart factories in Korea.

③ Sharing With The Industrial Ecosystem

The Lighthouse Factory POSCO shines brighter for the third factor. On January 9, Korean president Jae-in Moon visited POSCO Pohang works.  POSCO CEO Jeong-Woo Choi said:

“With the Smart Factory, POSCO has reduced production cost of 250 billion KRW for four years. And to relieve the wage gap with business partners, POSCO has extended an additional 270 billion KRW to outsourcing expenses for the last three years. Increased outsourcing expenses raises overall costs. However, POSCO is offsetting this through endless innovation. Through these measures, POSCO aims to foster the competitiveness of the whole industrial ecosystem, and then, in turn, enhance national competitiveness. POSCO’s management philosophy lies here.”

▲ Image source: KTV Youtube video

POSCO willingly shared the achievements of the smart factory project to solve the real problems many partner companies face. At first glance, this might simply seem like a ‘generous side’ of a large company, but in reality, this wasn’t an easy step. POSCO made this possible with its capacity earned through intense internal innovation. This is a good example showing how POSCO innovation isn’t just about POSCO.

POSCO went on to expand the benefits to SMEs who do not have direct business with POSCO. With the support service to build Smart Factory for shared growth, POSCO has provided the Smart Factory technology to 110 SMEs last year alone — 59 of which are companies with no direct business. The service will support 1,000 SMEs by 2023, with no limits to the subject. This is expected to increase the competitiveness of SMEs, which will, in turn, improve productivity and create new jobs.

▲ POSCO’s Smart Factory project not only increases POSCO’s competitiveness but also empowers the entire industrial ecosystem. It also helps in resolving current issues like narrowing the wage gap and creating new jobs.

This is what POSCO’s innovation is all about. The willingness to share with something that was earned hard. POSCO the lighthouse factory is indeed shining the light to a brighter future of the manufacturing powerhouse Korea.

POSCO Pohang Works was selected as the ‘Lighthouse Factory’ for spearheading innovation in manufacturing by the World Economic Forum (WEF) in July last year, opening a new horizon for smart blast furnaces. The WEF consultant, who visited Pohang Works for site review, showed great interest in the live monitor-controlling of the blast furnace. This complex and huge furnace is controlled by pairing the expertise of POSCO workers with AI technology. On January 9, South Korea’s President Jae-in Moon visited the site and watched the world’s smartest furnace at work.

POSCO is also striving to strengthen its industrial ecosystem by sharing its Smart Factory platform with business partners — including SMEs. Let’s take a closer look at how POSCO is working on its Smart Factory and pursuing Corporate Citizenship.

l POSCO’s Blast Furnace — At the Forefront of the Fourth Industrial Revolution.

Since the term ‘Fourth Industrial Revolution’ was first used at the 2016 Davos Forum, it has become the mainstream of all industries. Companies started working on to quickly acquire the core technologies of the Fourth Industrial Revolution — like Big Data, Artificial Intelligence, and the Internet of Things. Twice a year, Davos has been designating factories that are leading innovation in manufacturing as ‘Lighthouse Factories’. Last July, POSCO became the first South Korean company to be announced as a lighthouse factory.

The No.2 blast furnace at Pohang Works could be called the core of the Fourth Industrial Revolution Technology. POSCO embarked on the ‘digitization’ of the blast furnace in 2016 when the term ‘Fourth Industrial Revolution’ came about. Since the blast furnace was originally dependent on field workers’ heuristic knowledge, by ‘digitization’, POSCO worked on standardizing all accumulated data.

The blast furnace is a gigantic facility with a height of 110 meters — equivalent to a 40-story building. Inside the blast furnace flows a mixture of solids and liquids whose temperature rises as high as 2300℃. All these factors make it impossible to ‘look’ inside the blast furnace, hence, digitizing the variables of this huge blast furnace was more complicated and difficult than expected. The seemingly impossible task of ‘standardizing data’ of human knowledge marked the start of the smart furnace.

The accumulated data became the base of big data. Since 2017, POSCO has been working on deep learning with big data. Through deep learning, the blast furnace can self learn from the numerous cases given. This process called, “Smartization” enables the system to predict and control the potential variables, and to derive optimal results. The IoT has also accelerated the establishment of smart furnaces. In the past, multiple factors such as molten iron temperature, the amount of fuel and raw materials, and so on were left to the manual labor of workers. However, through IoT, high-definition cameras and sensors can take care of the data automatically.

▲ The internal temperature of the furnace can go up to 2,300℃. In the inside, several materials like iron ore and coke are mixed, causing various chemical reactions. It’s like a huge pressure vessel that’s 40 stories high. POSCO succeeded in data standardizing and automating the blast furnace.

As a result, Pohang No.2 Blast Furnace has become capable of self-control and prediction to an artificial intelligence level, giving it the name, ‘AI blast furnace’. With the experience of experts who have worked for more than 30 years at ironmaking, the smart furnace boosted the daily production of molten iron by 240 tons. Annually this amounts to 85,000 tons with which automakers can produce 85,000 more cars.

There is always a concern that follows these kinds of changes, “Won’t AI make people lose jobs?” But the answer is “No.” Instead of looking into the furnace all day, workers can focus on more advanced work with their Domain Knowledge. This enhances the possibility of more creative performance.

l What Makes POSCO’s Smart Factory Special?

Currently, leading global companies are adopting the smart factory platform. Then what makes POSCO’s Smart Factory more special? The answer lies in the platform established for the ‘Continuous Processing’ — a special term of steelwork. POSCO doesn’t stop at applying this platform to just furnaces. It has gone on to extend these smart factories to the overall steelmaking process. PosFrame, the engine of POSCO’s Smart Factory, is its unique factory platform specified for continuous manufacturing processes.

The steelmaking process is continuous, running smoothly from production planning to delivering the final product to the customer. Therefore, applying the smart factory platform to steel works is quite challenging — with a much bigger scale — than applying to a single factory that produces a single item. Pohang Works is massive in size, with hundreds of factories manufacturing hundreds of different steel products. In such an environment, data from each site should be gathered, organized, and standardized so that anyone can process it. This is one of the main functions of PosFrame.

Let’s say that the steelmaking process starts from A and ends at Z. When PosFrame is applied completely to the steelworks, it is possible to trace the cause of an issue that occurred in Z to A.

▲ A Smart Factory operation concept in an integrated steelwork. The cause of an issue occurring at the later part of the process can be automatically tracked to the earlier part of the process, diagnosed, and resolved.

l POSCO’s Technology For All Business Partners to Share

How is Corporate Citizen POSCO dealing with this unique technology? POSCO isn’t planning on making this technology exclusive. Instead, POSCO is working on expanding the smart factory technology to business partners including SMEs.

Dongkuk Industries, which has factories in Pohang and Siheung, is a company that processes POSCO’s hot rolled steel into high-quality cold rolled steel. This product is then supplied to companies that produce automotive parts. At Dongkuk Industries, steel goes under the pickling process, where hydrochloric acid (HCl) is used to remove scale on the product surface. This takes a great deal of time since each customer demands different quality requirements. Since it is nearly impossible to match each requirement, Dongkuk Industries pickled all materials even though each POSCO hot rolled steel had different scales. Naturally, productivity decreased, and this is where POSCO’s Smart Factory technology stepped in.

First, through PosFrame, POSCO sends predicted data showing where and how much scale is on the supplied hot rolled steel. This predicted data is received at the “AI for optimal pickling” in Dongkuk Industries. In the past, the pickling conditions were calculated manually by workers, but now this AI automatically extracts the optimum value based on the data obtained from PosFrame. After pickling, the resulting data is passed back to PosFrame. As POSCO hot rolled steel is processed into high-quality cold rolled steel here, its data are accumulated in PosFrame as big data and advanced through repeated learning. The data on both sides are exchanged repetitively, enabling the production of an optimized product — as if produced in a connected plant. The application of the Smart Factory in Dongguk Industries minimized the time required for the pickling process while securing product quality required by the customer. This increased productivity by 60%, and high-quality material sales by 1.5 times.

▲ Dongkuk Industries established a Smart Factory with POSCO. (From the top left clockwise) the front view of the Pohang factory; the pickling line; the hydrogen furnace; and the wide shear line. (Photo credit: Dongkuk Industries)

POSCO is also concentrating on Smart Factory consulting for SMEs. This service isn’t limited to direct customers but expanded to other business partners, including secondary customers. POSCO has engaged in support service to build Smart Factory for shared growth with the Ministry of SMEs and Startups — establishing Smart Factory in 110 companies until last year. At the same time, POSCO also provides ‘Smartification Consulting’ to enhance competence, thus, delivering advanced field expertise through POSCO’s unique innovation technique QSS(Quick Six Sigma). By 2023, POSCO is to contribute 20 billion KRW to empower 1,000 companies.

POSCO is operating seven major programs for shared growth, and some of them are as follows — ‘Open Purchase’ offering fair trading opportunities; ‘Proper Payment On Time’ abolishing the lowest price bidding system and giving payment in cash on time; ‘Corporate Citizenship Job Matching’ training job seekers and arranging employment at partner companies. Additionally, POSCO has aided 1 trillion KRW, leading the way in establishing a Venture Fund of 2 trillion KRW, and a Venture Valley to support start-up activities for the youth.

POSCO has become the “lighthouse” of the global manufacturing industry with its Smart Factory. And in Korea, POSCO is actively working as a guide of Smart Factory for business partners.

l This Is Smart Steelworks

As addressed in the POSCO the Lighthouse Factory #1, a smart steelworks collects and standardizes all factory data via PosFrame; then, the PosFrame self-learns the data to provide optimal process conditions and controls the various operations at steelworks.

The smart process minimizes the occasions for heuristic decisions preventing human errors. Objective and accurate data can lead to a eureka moment where innovative solutions are discovered. Wait, does this mean human labors are now dispensable?

Such hasty assumption is a surefire way to creating unnecessary anxiety. What the smart technology does is to let the workers delegate simple repetitive tasks to the machine, instead channeling their sophisticated skills and mental energy into perfecting the steelworks operation. The workers feed the result back into the PosFrame fostering the ultimate synergy between technology and humans.

How did smart technology transform the steelmaking operations at steelworks? Let’s find out.

[Order process] Small Lot Orders Go Smart

POSCO’s Order Management Group handles the planning for the entire steel production. One of their crucial tasks includes processing small lot orders — the order quantity for these small lot orders is too small that they typically do not meet a steelworks’ minimum production volume requirements.

Before smarticization, workers manually analyzed and processed the small lot orders — from checking the small lot order standards to figuring out whether and how to bulk-process chunks of small lot orders. The workers manually set the standards and modified them every half-year, the worst-case scenario being small orders sometimes ended up buried and left out. Some urgent orders were constantly classified as ‘small lot’ orders never receiving greenlight for production. In such cases, the order setting had to be reset so it can be incorporated with other orders. This used to take almost six hours or more. The average time for processing the entire small lot order is about 12 hours.

With ‘Smart Task,’ AI automatically organizes small lot orders — based on the analysis of all previous data, the system derives 12 factors impacting small lot orders. The AI also self-learns, so it can self-evaluate the orders. The processing accuracy is currently at 97%. To minimize production costs, the system also predicts the planning volumes so that small lot orders can be integrated with other orders — the production accuracy for which is at 99.99%. Compared to the previous 12 hours, the new procedure takes only an hour.

[Ironmaking] POSCO’s Smart Ironmaking Becomes the National Core Technology

The Smart Task comprehensively controls multiple factors such as furnace ventilation, combustibility, molten iron temperature, etc.; whereas, in the past, all of these were left to manual labor.
For the smooth operation of the Smart Task, the ironmaking department at Pohang Steelworks first defined variables that impact the furnace condition and subsequently integrated various information. In technical terms, this process is called ‘standardizing data.’

Under the Smart Task system, various indicators that were previously subject to the workers’ heuristic knowledge have been organized automating the manual processes. Now, the temperature of molten iron becomes data through IoT, and high-definition cameras conduct regular check-ups on raw materials and fuels.

POSCO started accelerating the establishment of an auto-control system in 2017. Through deep learning, AI self-learns, predicts and manages the data. Beyond simple automation of the current tasks, the system predicts and controls the potential variables and derives optimal results.

Even if the current furnace condition is satisfactory, the smart system goes above and beyond to make sure the furnace maintains its optimal condition. The Pohang No.2 blast furnace became a testing ground for the automated smart technology for the first time in Korea upping the daily molten iron production by 240 tons. The smart technology applied to the Pohang No.2 blast furnace received the government designation as the National Core Technology in July this year.

[Steelmaking] POSCO Goes PTX: Posco sTeelmaking eXpress!

The extremely high temperature required for steelmaking operation makes it difficult to measure temperature in real-time, which was why the daily operation was entirely dependent on field workers’ heuristic knowledge. Variations and human errors were inevitable in this system. Abnormalities at stages required not only a full-stop of the procedure directly involved — but also the procedures before and after.

The steelmaking Plant 2 at Pohang Steelworks has developed an integrated control system — it controls the timing, temperature, and the ingredients from the converter to the continuous casting process. There are potentially 125,000 probable procedures involved in the production for any given steel product.

POSCO digitized and standardized these procedures completing the PTX system by July 2018. With PTX, continuous processing became a reality — from converter through continuous casting without temporary halts or delays. Live-assessment of estimated arrival time, temperature, and product components also became available.

Before PTX, the temperature accuracy was at 80%, but now the system predicts the temperature with 90% accuracy. The use of raw materials also became more efficient.

[Continuous Casting] Prediction Made Simpler and Faster, Saves 600 million

Quality control is absolutely crucial, but it’s impossible to go through each and every material with a fine-tooth comb. So the typical inspection involved a through, 100% surface inspection of sample materials. If and when any abnormalities were detected in the particular sample, all other materials produced in the same batch had to be retrieved, subsequently undergoing thorough inspections.

The Pohang Steelworks No.2 and No.4 continuous casting plants annually inspected 340,000 tons of sample materials — only 30,000 tons found to be defective.

With a relatively small amount of defective materials, POSCO strove to minimize the time wasted, and to maximize the company’s resources. By applying artificial intelligence, POSCO collected a vast amount of data on steelmaking and continuous casting processes thereby establishing a model to predict defects. This was done by creating criteria of what constitutes as abnormalities in quality. Since the adoption of the new system in March 2018, the system now only screens defective materials, eliminating unnecessary testings. Furthermore, it pinpoints the reasons for the defect — the new system is expected to save over 600 million KRW every year.

[Rolling] AI Analyzes and Auto-controls Flatness Factors

Thick plate products first undergo the slab-heating process subsequently going through two rolling procedures. After that, according to the customer’s requirements, it undergoes an accelerated cooling process called Thermo-Mechanical Control Process (TMCP). TMCP involves spraying high-speed water on a steel plate rapidly cooling it to a designated temperature to improve the strength and the welding capacity of steel products. The process requires special equipment — and the water-spraying technology is highly advanced. Without accurate maneuver, the flatness of a steel product can be compromised.

In the past, the flatness of thick plates was manually analyzed, twice — once when the plate was hot (hot flatness) after TMCP treatment; and again, when the plate cooled down (cold flatness) during the shearing process. Measuring flatness in such a manner was extremely time-consuming, and it often caused a functional overload — it was challenging for the factory engineers to control the TMCP by manually inputting the results one at a time.

The plate plant at Gwangyang Steelworks created a learning model by analyzing the influential factors for hot and cold flatness — ultimately the company figured out the conditions that can achieve the most optimal flatness. Now, the engineers can simply monitor the optimal working condition values produced by AI supervising the smooth operations of each process. The correction needs for the products during the post-TMCP process are now reduced to 50% which saves about 1.3 billion KRW annually.

[Surface Treatment] Another National Core Technology, POSCO Surface Treatment Goes AI.

Continuous Galvanizing Line (CGL) involves processing cold-rolled coils with continuous heat treatment, putting them in zinc pot, ultimately producing galvanized iron plates. POSCO’s Giga Steel is also produced through CGL process.

After plates are taken out the zinc pot, an air knife controls the coating amount by cutting out zinc before it solidifies on the surface. The target coating weight varies for each product, and the coating weight could be measured only after the air knife procedure and solidification completed. This is why the live-control of coating weight remained challenging.

To address the challenge, POSCO developed AI-based control model for coating weight — it uses deep learning for precise management of such factors as steel grade, plate thickness, width, operating conditions, and target coating weight. Previously, the accuracy rate for predicting coating weight was projected at 89% — now, with 99% accuracy, the technology has been applied to all surface treatment plants at both Pohang and Gwangyang Steelworks. Just as POSCO’s smart ironmaking technology, POSCO’s smart surface treatment technology also received government designation as National Core Technology.

l Smart Steelworks Enhances Safety

A truly smart steelworks operation prioritizes workers’ safety as well as the environment. POSCO is no exception. What makes POSCO exceptional in this domain, especially when it comes to its application of smart technology, is the way the company utilizes smart CCTVs. POSCO developed a smart CCTV system — unlike general CCTVs which simply record video footage, POSCO’s smart CCTV auto-detects patterns and movements at production facilities. When the system recognizes any abnormalities, it promptly alerts the administrator in charge.

POSCO developed an optimized smart CCTV system that meets various demands of steelworks operations by integrating previously accumulated footages. From last year, POSCO began installing the smart CCTVs at Gwangyang No. 3 surface treatment plant, No.2 steelmaking plant, No.1 coke plant, and Pohang No. 2 plate plant.

Smart CCTVs automatically recognizes and analyzes various information such as the product quality and safety information, reducing the amount of time workers merely ‘stand by’ just to check all the information manually. At a steelmaking plant, for example, smart cameras can measure the temperature of molten iron. At a surface treatment plant, the smart camera detects the subtle color difference of coil-ends allowing prompt response for potential quality defects.

Furthermore, multiple imaging devices, such as thermal imaging cameras, can proactively detect and prevent fire hazards. At all corners of POSCO steelworks, smart CCTVs gather information and identify potential hazards before anybody does.

POSCO’s smart steelworks is an ongoing project. With the establishment of smart technology, POSCO will continue to address the challenges remain unsolved — POSCO aspires to complete the smartization process to ensure production efficiency, top quality products and improved safety.

POSCO is the first South Korean company to receive such recognition. Through its smart-factory platform, the company demonstrated its ability to leverage artificial intelligence to drive productivity and quality improvements in the steel industry.

How does POSCO drive impact by applying Fourth Industrial Revolution technologies? POSCO Newsroom reports.

l POSCO the Lighthouse Factory Shines Light on Manufacturing Industry

Lighthouse factories represent a range of industries that demonstrate leadership in applying Fourth Industrial Revolution technologies like IoT, cloud computing, Big Data, and AI, to drive financial and operational impact.
For the last five years, POSCO has laid the groundwork for the smart factory to boost its competitiveness in steelmaking. POSCO’s selection signifies global recognition of the company’s such effort.
From the submission of the application, due diligence, to documentation review by WEF consultant, the lighthouse factory selection is an arduous process. From the initial application submission, it took POSCO about one year until its final selection as the lighthouse factory.

One of POSCO’s esteemed contributions was its establishment of a sound ecosystem where SMEs and start-ups can thrive through active collaboration. Additionally, POSCO’s smart factory platform was customized to meet the needs of the steel industry. One of the WEF consultants at POSCO’s steelworks was especially impressed with the way in which years of human skills paired superbly with the new AI technology in monitor-controlling the massive furnace operations live, 24/7.

There are altogether 26 lighthouse factories around the world including POSCO, Siemens, BMW, Johnson & Jonson, and Haier. The lighthouse designation effectively gives the companies the Global Lighthouse Network membership among which the members share their knowledge and experiences enhancing their ability to better-adopt smart-factory platform. POSCO plans to utilize the benefits the Network offers to boost its ability to establish and advance smart factories that meet ever-changing industry demands.

l Sophisticated Steelmaking Goes ‘Smart’

Heavy pole and massive chimneys are some of the things that people associate with typical steelworks operation. What’s so complicated about steelmaking? — isn’t it all about stuffing everything in the blast furnace where molten iron comes out? Then molding the molten iron, baking it, pressing it, and cutting it up?

Maybe so, but in actuality, each process is extremely sophisticated especially when combined with varying customer requests. The smooth operation of POSCO’s 24/7 steelworks can be attributed to the company’s 51 years of experience as well as to the field engineers whose meticulous monitoring and management of the steelworks operation propel the steelworks operation forward.

Even with their expertise, however, each engineer’s experience varies. In the immense intricacy of steelworks operation, POSCO must deal with the inevitable at all times. What are some of the inevitable situations that can occur during the steelmaking process?

Production Planning: POSCO’s ‘Order Management Group’ is the brain of all steelworks operation — not only does it take orders, but it also manages production schedules, locations, and production methods. The Group is also in charge of figuring out precise production timing as per special customer requirements. Some customer requests involve a unique mixture of ingredients, so there are always many variables to consider. There are at least 10 ‘standard’ procedures the Order Processing Group must consider. Only after these minimum standards have been met, the steelworks operation of that specific order can receive greenlight.

Ironmaking: POSCO Newsroom previously covered the basic concept of managing ‘blast furnace condition’ in the ‘Blast Furnace Anatomy #1 — To the Heart of Steelworks Operation’ (LINK). There are countless tasks involved in 24/7 blast furnace operation — from maintaining temperature, placing in fuels and raw materials with precision, to predicting the amount of by-product gas generation.

Steelmaking & Continuous Casting: The steelmaking department removes impurities from the molten iron produced in the previous ironmaking stage, by way of converter — the molten iron becomes ‘steel’ in this process. During the casting process, the ‘steel’ is molded into intermediary materials like slab, bloom, and billet.

Molten iron can be made into countless different products to meet diverse customer needs, each requiring different portion and mixture of ingredients. To achieve this goal, the molten iron undergoes four different stages of ‘blowing process’ where oxygen is pressured through molten iron to lower the carbon content of the alloy, changing it into low-carbon steel.

At this point, the molten ‘steel’ goes through continuous casting, after of which is cooled down and cut. Temperature and ingredient management with precision is crucial for maximized use of limited resources.

Rolling: The next step is ‘tempering,’ a process of heat treating, which is used to increase the toughness of iron-based alloys. In ‘Game of Thrones’, blacksmiths constantly bang on the iron as a way of hardening the material. In steelworks, the process of rolling achieves the same goal.

In rolling, materials are passed through the rotating rolls to produce steel products that meet customer demands: in thickness, width, strength, durability, etc. Imagine baking bread, each with a different requirement for textures, tastes as well as shapes.

Surface Treatment: Automotive steel plates and home appliances are galvanized so that they become more corrosion-resistant, more suitable for various manufacturing purposes. Precise surface treatment suited to each purpose is the key to an advanced coating technology.

Notwithstanding the 100% effort aimed for perfection, complex steelmaking process overflows with information. Variation — be it human or mechanic — is inevitable in each and every step of the process. To address such variation, POSCO is opting for the smart factory, identifying it as the next-generation of its growth engine.

The establishment of smart factories must be preceded by the digitization of factories. Through Process Innovation Project (PI Project) in the 2000s, POSCO successfully achieved digitization of its factories. What set POSCO apart from the various similar endeavor is that the company has been working this digitization muscle for a while now. Smart factory, which is being built on the digital factory, is at the center of POSCO’s unique smart factory platform called PosFrame.

l PosFrame, the Foundation of POSCO’s Smart Factory

What is the origin of POSCO’s smart factory? It can be traced back to the year 2015 when the hype of smart industry hasn’t quite caught on the flame. Even back then, POSCO introduced new technologies like Big Data, specifically at the Plate Plant at Gwangyang Steelworks. At this point, Gwangyang became a testing ground for POSCO’s smart factory. During this process, the foundation for ‘PosFrame,’ POSCO’s unique smart platform, was created.

With PosFrame, POSCO could establish a system in which the company’s countless data and skills accumulated through the 51 years of its operation can be integrated and stored in one place.

How is this different from conventional digitization?

PosFrame is the world’s first smart factory platform specified for continuous manufacturing processes. The reason why ‘PosFrame’ is identified as a ‘platform’ is this: think of railway platforms. Railway platforms are where different types of trains pass through — be it bullet trains, express trains, or slower all-stop trains. A platform manages information about different types of trains — in this case, data — coming and going all the time. It’s a perfect system for 24/7 steelworks operation. The goal of PosFrame is to pinpoint the reason behind a product defect, if and when, by meticulously back-tracing the steelmaking process to figure out exactly where a variation might have occurred.

Furthermore, PosFrame goes beyond simple digitization. Whereas digitization simply stores information as data, PosFrame analyzes the data, enabling the development of automation models.
Here, a question might arise: isn’t automation something only reserved for experts? PosFrame’s ‘Workbench’ feature says no. Workbench is accessible to everyone. For example, field engineers can apply their expert knowledge and use the data to develop automation models so that the models can be utilized in various steelmaking processes. Thanks to the data collected and standardized by PosFrame, engineers can analyze information not only for the process they’re directly involved but also the processes that come before and after. PosFrame makes it easier for the engineers to tackle difficult issues that previously remained as random occurrences.

The incredibly accessible PosFrame accelerated POSCO’s advance into smart factories. Through PosFrame, all POSCO employees are turning into semi-AI experts.

To further its smartizaton process, POSCO has been providing smart tech training to all employees since 2017. The training is helping the employees take their skills to the next level towards establishing a more data-driven working environment.

Through the ‘POSCO the Lighthouse Factory #1,’ we introduced the core concepts behind POSCO’s smart factory. In the next episode, ‘POSCO the Lighthouse Factory #2: POSCO’s Smart Factory Transforms the Industry (The Cases),’ we will provide more concrete pictures on how POSCO’s smart factories operate. Stay tuned.