From four core systems — the Steel MES System, Process-Wide Quality Management (IPQMS), Equipment Management (EQMS) and Digitalized Production Control — to cloud applications such as Discrete Manufacturing Management (DMMS), Logistics Management (TMS) and Metal-Processing Supply Chain (OMPSCP), it forms the complete information foundation supporting smart manufacturing in the steel industry.
Empowering the shop floor with "Data + AI" — Intelligent Control with the Steel MES System
A manufacturing execution system for steel enterprises that deeply fuses technology with business and distills industry know-how into a unified technology platform.
Following the PDCA philosophy of quality management, it covers "pre-planning and prevention", "in-process online monitoring, assessment and dynamic optimization" and "post-process comprehensive evaluation and analysis" to deliver lean, closed-loop quality management.
Distinguished by on-site empowerment through "Data + AI", it supports efficient allocation of manufacturing resources in medium-to-large enterprises, fulfills high-mix, low-volume personalization demands under mass production, and drives the transition toward high-end, intelligent and green manufacturing.
A closed-loop PDCA mechanism delivers quality management across the whole lifecycle, from raw material intake to finished product shipment.
Balances sales and production at contract level under finite capacity, and by assessing process batching, cost forecasts and line characteristics, automatically groups contracts, matches materials and recommends production sequences.
Collects multi-dimensional data on contracts, materials, equipment, process quality and energy costs in real time, tracking processing costs and equipment health down to individual materials with full-process traceability.
Breaks down information silos to build integrated end-to-end collaboration across sales, production, equipment, logistics and quality, deeply optimizing interface linkage and coordinated scheduling between ironmaking and steelmaking and between steelmaking and rolling.
Models plant manufacturing resources, connecting the full flow from order intake and capacity assessment to production planning and scheduling.
Issues real-time shop-floor work instructions with globally visualized, precisely located material tracking.
Pushes quality information to the shop floor in real time, using automated assessment and dynamic optimization to best match product quality with process capability.
Data-driven allocation of production resources enables just-in-time, flexible delivery.
Covers ironmaking, steelmaking, hot rolling and cold rolling; integrates marketing, procurement, production and quality data domains to build full-process big-data decision models that enable autonomous decisions and efficient resource allocation in complex scenarios — meeting steel enterprises' production management needs while supporting business collaboration and inter-process interface optimization.
One-stop quality management from raw material to finished product — AI- and big-data-driven intelligent early warning and precise traceability of quality issues.
Delivers one-stop quality management solutions from raw materials to finished products across all steel processes.
Using AI and big-data analytics, it provides intelligent prediction and early warning, precise traceability and continuous improvement for quality issues — giving product engineers a visualized end-to-end data map and a "quality workbench", and process engineers online quality application guidance.
Deployed at major steel enterprises worldwide, serving industry leaders such as JSW (India), Baosteel and Shougang.
Builds a quality big-data center covering all processes, improving data analysis efficiency for shop-floor and business staff by over 80%.
Deployment and real-time monitoring significantly cut defect occurrence and downgrade rates.
An open architecture lets business staff self-manage and develop features, delivering a system that keeps evolving as the enterprise grows.
Rapid diagnostic tools — quick quality-issue diagnosis, defect root-cause analysis and quality assessment reports — pinpoint problem areas fast.
Performance prediction and defect traceability models locate root causes in production processes, forecast impacts on downstream processes and prevent quality defects from spreading.
Introduces data classification and analytics for pre-production analysis, supporting data-driven decisions that keep problems from recurring.
Online monitoring and automated assessment relay information across processes, while pre-production analysis and in-production alerts drive dynamic optimization.
Supports quality traceability, quality prediction and early warning, performance prediction and R&D quality support across ironmaking, steelmaking, hot rolling, cold rolling, coating and finishing.
A unified, standardized equipment management platform for all-round equipment management
Connects equipment users, managers and the equipment itself through a unified, standardized equipment management platform.
From shop-floor management of standards, inspections, condition monitoring, maintenance and materials, to functional management of contracts, assets and costs, to specialized management of metering and special-purpose equipment — delivering all-round management across the equipment lifecycle.
Function modules deploy independently on demand and support secondary development plus integration with MES, ERP, finance and other information systems, with extensions such as mobile apps, software-hardware integration, AR solutions and equipment analysis and prediction.
Builds a shop-floor management master database through standards, inspections, condition, maintenance and material management, keeping equipment operating health in view.
Contract, asset and cost management coordinates maintenance resources, keeps physical and financial accounts aligned and drives lean maintenance costs.
Fully digitalized periodic calibration of metering equipment and inspection of special-purpose equipment ensure regulatory compliance.
Fully supports centralized operations and remote collaborative deployment across one headquarters with multiple bases, with open interfaces for deep integration with MES, finance and procurement.
Connects ordering, commissioning, runtime tracking and analysis to guarantee data consistency
Piecemeal applications are capitalized upon arrival and project equipment lists registered as assets, delivering accurate ledgers and inventory linked to business processes.
Links fixed-asset and sub-equipment codes for unified accounting records and physical asset management.
Spare-part installs and removals automatically link with work orders, analyzing consumption trends and replacement causes for each sub-equipment.
Maps equipment codes to material codes, maintaining consistency through procurement strategy and supplier collaboration.
From piecemeal fixed-asset purchases and project management to asset acceptance, adjustment, transfer and disposal — unified dynamic records cover standards management, inspection management, fault DB, condition management, maintenance management, material requisition/demand, issue/withdrawal, installs/removals, repair/overhaul and scrapping/steel scrap.
An operations management platform purpose-built for discrete manufacturing that connects sales, procurement, production and finance end to end around the BOM.
Baosight DMMS is an operations management platform purpose-built for discrete manufacturing, precisely solving industry pain points such as "high-mix, low-volume, complex structures" and scattered materials. Its open ecosystem architecture connects sales, procurement, production and finance around the BOM, eliminating data silos.
The system builds an all-around collaboration ecosystem: integrating business and finance internally, enabling transparent, cost-saving procurement upstream, and delivering "Manufacturing + Service" full-lifecycle customer care downstream. Four standardized processes support penetrating management from upstream suppliers to downstream customers.
With four core strengths — full business coverage, platform-based operations, distinctive industry features and full-process risk control — it helps enterprises achieve integrated processes, platform-based operations and intelligent decisions, lifting core operational efficiency across discrete manufacturers.
Customers & contracts, purchase & sales, warehousing & logistics, production management and financial management.
Covers every stage of the business chain from customer development to order completion, with a comprehensive risk-control framework delivering full-process, closed-loop risk management.
Aggregates key data across business nodes into a multi-perspective query and analysis platform, visualizing the full business picture for precise decision support and penetrating, refined management.
Covers equipment manufacturing, industrial solid waste, clean energy and other industries.
A logistics management system for the metal packaging industry that connects the upstream and downstream logistics supply chain
A logistics management system for the metal packaging industry, integrating purchasing, sales, production, warehousing and transportation information.
Connects the upstream and downstream supply chain to standardize, refine and fully digitalize logistics business processes.
Unified PC and mobile management of transport plans, vehicle assignment, arrival appointments and loading/unloading scanning, with real-time logistics kanban monitoring and data analysis.
Covers sales delivery/pickup/returns, purchase receipt/returns and warehouse transfers across the entire flow.
Unified PC and mobile management of transport plans, vehicle assignment, arrival appointments and loading/unloading scanning.
Real-time logistics kanban monitoring and data analysis improve delivery service quality.
Responds quickly to market changes to support flexible business operations.
With a "green and low-carbon" mission, driving deep integration of the Internet, big data and the real economy
With a "green and low-carbon" mission, it drives deep integration of the Internet, big data and the real economy to build a standardized, efficient trading and management platform for recyclable resources.
In addition to standard ERP management functions, the system offers a mobile business approval APP, a quality inspection assistant and a weighbridge management mini-program, deeply integrating IoT, AI, 5G, blockchain and other frontier technologies.
It aims to break down information barriers, interconnect the upstream and downstream supply chain and fully standardize the entire recyclable-resource trading process.
Business operations, business management, supply-chain collaboration, smart plant, supervision and big-data trading.
Gatehouse and weighbridge linkage delivers full-process inspection with a closed data loop.
"One record, one certificate" anti-tampering keeps transactions trustworthy and traceable.
Already covers nearly 50 companies and close to 100 recyclable-resource bases.
A supply-chain product meeting diverse metal-processing needs with business-finance integration
An operations management system supporting the operation of an entire processing center, from data entry to report presentation.
Covers every management stage from data entry and process monitoring to report display and business statistics, spanning purchasing, inventory, sales, financial costing, processing scheduling and quality control.
Built with cloud-native technology and a dual middle-platform architecture, it rapidly supports manufacturing base expansion, marketing management transformation and supply-chain digital reinvention, elevating customer experience and operations.
Integrated purchase/sales, warehousing, materials, production, logistics and finance modules.
Supports Japanese, Chinese, English, German and more for overseas operations.
Tax groups are defined flexibly according to each country's tax system to meet compliance requirements.
Integrates with SAP and Oracle EBS to keep data flowing seamlessly.
