LG to Dive Deep in Smart Factory with Full Solutions | AEI

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LG to Dive Deep in Smart Factory with Full Solutions

LG Electronics is advancing its smart factory solutions business by integrating artificial intelligence (AI) and digital transformation (DX) with its extensive 66-year history of manufacturing and production expertise.

The Ultimate Fusion of AI and Manufacturing Capabilities

Earlier this year, LG officially entered the smart factory solutions market. The Production engineering Research Institute (PRI) has been enhancing production and manufacturing competitiveness for LG Group affiliates. Now, it is extending its expertise to external clients. Services offered include production consulting, development of equipment and operation systems and training for technology personnel.

Despite being in its inaugural year, the business has already achieved significant milestones. PRI anticipates securing orders worth approximately KRW 200 billion from external clients for its smart factory solutions.

LG
LG accelerates smart factory solutions business integrating AI with 66 years of manufacturing expertise. (PRNewsfoto/LG Electronics)

Major clients include secondary battery manufacturers, automotive parts manufacturers and logistics companies. LG plans to aggressively expand into industries with rapidly growing factory demand. These include semiconductors, pharmaceuticals, biotechnology and food and beverage. Mainly, the goal is to develop the smart factory solutions business into a multi-trillion KRW enterprise by 2030, excluding revenue generated within the LG Group.

According to market research firm Precedence Research, the global smart factory market could grow from USD 155.61 billion this year to USD 268.46 billion by 2030.

770TB of Manufacturing Data and Over 1,000 Patents

LG has accumulated vast amounts of manufacturing data and know-how through 66 years of factory design, construction and operation. In the past decade alone, the company has amassed 770 terabytes (TB) of manufacturing and production data. This is equivalent to storing approximately 197,000 high-definition movies (assuming each movie is 4GB).

The company’s competitive edge also lies in its various core production technologies essential for smart factory configuration. In fact, PRI filed over 1,000 patents related to smart factory solutions.

LG aims to set its smart factory solutions apart by integrating its extensive manufacturing data and expertise with AI and DX, leveraging world-class production technologies. These smart factory solutions encompass production system design, monitoring and operation through Digital Twin technology; big data and generative AI-based management of quality, industrial safety and equipment; and the provision of various industrial robots.

Production Efficiency Directly Linked to Business Profitability

Smart factory solutions focus on minimizing even the briefest delays or minute errors between processes. Since efficiency in production is directly linked to the overall profitability of the business, enhancing it is crucial.

For example, at LG’s refrigerator production line in Changwon, a refrigerator is produced every 13 seconds. A 10-minute delay in the production line would result in a production shortfall of 50 refrigerators. Assuming the price of one refrigerator is KRW 2 million, a 10-minute delay translates to a loss of KRW 100 million.

This impact is even more significant for products with faster production speeds.* Therefore, solutions that minimize delays across processes – from the seamless supply of multiple components to assembly, packaging and inspection – are essential.

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LG approaches the smart factory business not just as unit solutions for specific areas but as comprehensive solutions. (PRNewsfoto/LG Electronics)

Comprehensive Production Solutions Covering the Entire Journey

LG approaches the smart factory business not just as unit solutions for specific areas but as comprehensive solutions covering the entire journey for clients. Generally, it includes factory planning to design, construction and operation. Considering the client’s environment and industry characteristics, the company diagnoses existing factories and identifies areas for improvement, establishing a step-by-step roadmap from automation, informatization and intelligence perspectives to maximize investment effectiveness.

Digital Twin Solution for All Value Chain

The production system design and operation solutions leverage real-time simulations using Digital Twin technology. Before the factory is built, a virtual replica identical to the real factory is created. This allows clients to preview the production and logistics flow. This enables optimal efficiency in factory design.

During the operational phase, analyzing real-time data helps detect bottlenecks, defects and malfunctions in the production line in advance. Thereby, it is contributing to productivity improvement.

Autonomous Mobile Robots and Collaborative Robots

LG’s various industrial robot solutions for factory automation offer significant advantages. The Autonomous Mobile Robot (AMR) is equipped with cameras, radar and LiDAR sensors to recognize its surroundings and supply parts and materials. It navigates effectively, avoiding workers and obstacles through autonomous driving.

The Mobile Manipulator (MM), which combines a multi-joint robotic arm with an AMR, can automate a range of tasks seamlessly. It is capable of diverse actions such as assembly, defect inspection and transporting parts and materials. Additionally, it can replace the batteries of nearby AMRs when they run low.

Generative AI Solutions for Easy Anomaly Diagnosis

Solutions that assist in managing yield rates and ensuring the smooth operation of equipment are also highly beneficial. Sensors installed throughout the factory detect abnormal signals such as vibrations and noise caused by equipment aging or lack of lubrication. Big data is then used to determine the causes and recommend corrective actions.

Generative AI based on large language models allows for easy use through voice commands. For example, saying “abnormal vibration in equipment A at 2 p.m.” records the abnormal signal on the server. A command like “show recent abnormal vibrations and corrective actions” provides a list of defect types and previous corrective actions in order of likelihood.

Additionally, LG has developed a real-time detection system powered by Vision AI. This system learns the factory’s normal operating conditions and detects anomalies such as temperature fluctuations and defects. It also enhances factory safety management by identifying workers who are not properly wearing safety helmets or work vests.

Expediting the Development of a Future-Oriented Business Model by Harnessing Lighthouse Factory Expertise

The World Economic Forum recognized LG’s intelligent autonomous factories in Changwon, South Korea, and Tennessee, USA as Lighthouse Factories. Following the implementation of smart factory solutions, productivity at the Changwon plant increased by 17 percent, energy efficiency improved by 30 percent, and quality costs due to defects were reduced by 70 percent. Within the LG Group, production facilities at over 60 locations in 40 regions worldwide are applying solutions from PRI.

Leveraging this internally and externally validated smart factory expertise for business ventures holds significant meaning in terms of commercializing intangible assets. LG is driving a transformation of its business portfolio, which has traditionally focused on production of hardware, by integrating software and solutions into a future-oriented structure. This approach is expected to significantly contribute to the rapid growth of the company’s B2B sector, one of the three key growth drivers in LG’s 2030 Future Vision, especially as it targets numerous external corporate clients.

“We will offer optimal smart factory solutions at every stage – from planning and design to construction and operation – becoming the ideal partner that supports our clients throughout their entire production journey,” said Jeong Dae-hwa, head of LG PRI.

* Unit for production speed is parts per million (PPM).

-19 July 2024-