CHINAF constructs a comprehensive Smart Factory solution comprising seven core modules: smart R&D, design & manufacturing; smart production & scheduling; smart quality control; smart equipment operation & maintenance; smart logistics & warehousing; smart energy management; and an industry chain collaboration platform.
Centered on Digital Twin and AI technologies, it realizes digital R&D across the product life cycle, centralized scheduling of production resources, full life-cycle quality control, and plant-wide management of equipment, logistics, and energy. By integrating the entire chain of sales, production, and R&D, it achieves R&D-production synergy and production-supply synergy, helping factories operate intelligently, efficiently, and sustainably.
Smart Factory
Solution Introduction
Solution Introduction
Technical Features
Industrial Chain Collaboration Platform
Connect the upstream and downstream data links, integrate supplier collaboration, order collaboration, inventory sharing, quality linkage, and transparency of the entire process from order to delivery, achieve efficient linkage between production and sales, supply and demand, shorten the supply chain response cycle, and support flexible customized production
Intelligent Energy Management
Real time monitoring of the overall energy consumption of water, electricity, gas, and heat in the factory at the equipment level, relying on AI energy consumption optimization, carbon emission management, and carbon footprint tracking, optimizing energy consumption strategies, achieving refined energy consumption control, and assisting in carbon reduction, emission reduction, and carbon neutrality monitoring and analysis
Intelligent logistics warehousing
By relying on three-dimensional warehouses, AGV/AMR unmanned distribution, and intelligent inventory management, real-time material tracking, precise pull flow, automatic sorting and distribution can be achieved, with unmanned warehousing, intelligent distribution, and supply chain visualization capabilities, optimizing warehousing and logistics efficiency
Intelligent device operation and maintenance
Based on multi-dimensional operational data of devices and AI fault prediction models, a predictive maintenance and AR remote operation and maintenance system is built, covering modules such as device health assessment, fault prediction, and maintenance scheduling, reducing unplanned downtime, improving operation and maintenance efficiency, and reducing maintenance costs
Intelligent quality control
Integrating AI online detection, full chain one item one code traceability, and quality AI warning, building a closed-loop quality control system, realizing the full process quality traceability from raw materials to finished products, quality prediction and warning, improving detection efficiency, and achieving 100% process quality inspection and pre prevention and control of defective products
Intelligent Production and Scheduling
Relying on the MES system and the digital twin of production line, through dynamic intelligent production scheduling and process adaptive control, flexible production, transparent and traceable production process, real-time optimization of production scheduling, automatic adjustment of process parameters, centralized scheduling of production resources, and maximization of resource utilization are achieved
Intelligent R&D, design, and manufacturing
With digital twins, modular design, and simulation optimization as the core, we aim to build a closed-loop system for the entire value chain, achieve digital research and development throughout the product lifecycle, shorten the research and development cycle, improve component reuse and product design performance, connect the design and manufacturing process, connect production and supply chain systems, and achieve collaborative research and development, production and supply
Core Value
Full chain collaboration
By connecting the entire production, sales, and research chain, achieving efficient upstream and downstream linkage, shortening the supply chain response cycle, supporting flexible customization, and enhancing the core competitiveness of enterprises
Green Energy Saving
By implementing refined energy consumption control across the entire region, optimizing energy consumption strategies, achieving carbon reduction and emission reduction, assisting factories in achieving carbon neutrality goals, and reducing energy costs
Logistics optimization
By implementing comprehensive intelligent logistics warehousing in the factory, we aim to improve the utilization of storage space and logistics efficiency, reduce inventory and labor costs at the production line, and enhance logistics safety
Efficient operation and maintenance
By utilizing predictive maintenance of factory wide equipment and AR remote operation and maintenance, unplanned downtime is reduced, equipment maintenance costs are lowered, and equipment operation and maintenance efficiency and stability are improved
Quality controllable
Through closed-loop quality control throughout the entire lifecycle, we achieve 100% process quality inspection, precise traceability, and pre prevention and control of defective products, ensuring stable product quality
Production Optimization
Through centralized scheduling of production resources and flexible production, improve the comprehensive efficiency of equipment, on-time delivery rate and order delivery ability, realize the transparency and controllability of the whole production process, and maximize the use of resources
Efficient research and development
Through digital R&D throughout the product lifecycle, we aim to shorten the R&D cycle, improve design performance and component reuse, achieve R&D collaboration, and reduce R&D costs
