Industrial
Enabling industrial organizations to improve efficiency, visibility, and sustainability through connected operations
LG Sinar Mas provides high-precision Smart Manufacturing and Industrial Digital Solutions engineered for the rigors of heavy industry and process-based production. Our core framework integrates advanced technologies which enable a shift from reactive maintenance to a predictive "Zero-Defect" environment. By collecting high-resolution data from equipment and sensors, our systems detect subtle anomalies in real-time, preventing costly production halts and ensuring consistent output in high-volume industries like steel and rubber manufacturing. For specialized sectors such as Petrochemicals and Agriculture, we offer industry-specific AI Transformation (AX) platforms. In Petro/Chemical processes, our Recipe Management System (RMS) standardizes complex formulations across global sites, automatically validating equipment settings to eliminate human error. In Agriculture, we deploy AI-powered open-field smart farming—leveraging satellite imagery, drones, and IoT sensors to optimize irrigation and fertilization—transforming traditional farming into a data-driven, high-yield operation. Our heavy industrial solutions extend into Digital Quality Innovation, utilizing AI Vision to automate the classification of raw materials, such as iron scrap, and monitor 4M (Man, Machine, Material, Method) changes. By combining digital twin simulations with real-time operational data, LG Sinar Mas empowers heavy industry leaders to optimize yield, reduce carbon footprints, and maintain global safety standards through autonomous, self-evolving production ecosystems.
LG Sinar Mas creates high-fidelity virtual replicas of your physical assets, synchronizing real-time field data to simulate and optimize industrial operations. In process industries like steel and petrochemicals, this allows for Virtual Commissioning, where new production recipes or equipment configurations are tested in a risk-free digital environment before physical implementation. In the agriculture sector, our Digital Twin technology uses "What-If" scenarios to predict the impact of environmental variables on crop yields. By providing a holistic 3D visualization of the entire production flow, we enable operators to identify bottlenecks in complex piping systems or assembly lines, ensuring that every adjustment is data-backed and precision-engineered.
Our Manufacturing Operations solutions act as the central nervous system of the factory, orchestrating the complex interplay between materials, personnel, and machinery. Through our Recipe Management System (RMS), we ensure total consistency in compounding and mixing processes—critical for the rubber and chemical industries—by automatically deploying formulations directly to equipment. To maintain the rigorous quality standards of heavy industry, we integrate Statistical Process Control (SPC) to detect process drift in real-time. This is supported by automated warehouse management and AGVs that optimize the movement of heavy raw materials, such as steel coils or agricultural harvests, from intake to final shipment.
We bridge the gap between heavy hardware and digital intelligence through a robust connectivity layer designed for high-resolution data acquisition. Our IIoT platforms collect and normalize data from diverse sources—including legacy PLCs, sensors, and drones—converting raw industrial signals into actionable insights. In volatile environments like petrochemical plants, we utilize Edge Computing to process critical data locally, enabling immediate responses such as emergency shutdowns or pressure adjustments without latency. For large-scale agricultural operations or remote industrial sites, our IoT sensors provide a centralized dashboard for monitoring soil conditions, equipment health, and environmental parameters across vast geographical areas.
To maximize the lifecycle of high-value industrial assets, LG Sinar Mas provides intelligent maintenance solutions that shift your strategy from reactive to predictive. Utilizing Fault Detection and Classification (FDC), our AI models analyze vibration, thermal, and acoustic data to identify specific mechanical failures before they lead to catastrophic breakdowns in heavy machinery. By monitoring the Overall Equipment Effectiveness (OEE) of every asset across multiple sites, we help you transition to "condition-based" maintenance. This ensures that furnaces, presses, or harvesters are serviced only when necessary, significantly reducing downtime and optimizing the cost of spare parts and labor.
We leverage AI and automation to protect your workforce and ensure adherence to increasingly stringent global environmental and safety regulations. Our Vision AI systems monitor production floors in real-time to detect the use of Personal Protective Equipment (PPE) and identify hazardous leaks or smoke in chemical and steel facilities. Beyond physical safety, we simplify regulatory hurdles by automatically generating audit-ready reports for carbon emissions, air quality, and waste discharge. By digitalizing safety protocols and risk assessments, LG Sinar Mas ensures that high-risk maintenance tasks are performed according to strict parameters, fostering a culture of safety while protecting the company’s license to operate.
Deep Domain Expertise in Heavy Industry
We bring a proven track record from the LG Group’s global operations in chemicals, batteries, and electronics, combined with Sinar Mas’s industrial leadership, ensuring our solutions are battle-tested for complex process manufacturing.
Predictive Intelligence (FDC & SPC)
Our platforms go beyond basic monitoring. Using AI-driven FDC and Nelson-rule-based SPC, we predict equipment failure and process drift before they impact your bottom line, extending the life of high-value industrial assets.
Vertical-Specific AX Solutions
From AI iron-scrap grading for the steel industry to "Digital Scarecrows" and automated fertilization for open-field agriculture, we provide "niche-perfect" technology that addresses the unique pain points of your specific sector.
Zero-Error Recipe Management
For industries relying on precise chemical or material compositions, our RMS ensures that the right "recipe" is automatically applied and interlocked with equipment, guaranteeing consistency regardless of operator experience.
Sustainability & ESG Integration
We embed carbon management and safety (EHS) directly into the production workflow. Our AI platforms automatically track energy consumption and emissions, helping heavy industries meet tightening global regulations while improving operational profitability.
Global Success, Local Relevance
Examples of transformation at scale, informed by LG CNS global delivery standard and adapted for complex organizational needs