Hongbao
Create a digital factory for customers
The digital factory is based on the concept of the entire value chain of factory operations. Through the control of resources and processes of the entire value chain such as customer management, business sales, R&D design, production manufacturing, quality control, supply chain management, and after-sales service, combined with lean thinking; using industrial automation technology, intelligent identification, industrial Internet, Internet of Things technology, 3D virtual simulation, cloud computing technology, industrial big data analysis, and mobile terminal applications, etc., to realize the intelligent, digital, image-based, and hierarchical real-time management of enterprises.
The digital factory digitizes the entire company's operational process, from customer orders (CRM system) to product R&D design (PLM system), raw material procurement (SCM system), and production delivery (ERP, AMRP, MES, WMS, etc.), integrating the operation control layer, on-site management layer, enterprise operation layer, and collaborative business layer into a digital enterprise circle, and gradually realizing the lean management of the entire value chain.
Hongbao integrates the new generation of information technologies such as the Internet of Things, big data, and cloud computing with various links of manufacturing activities such as design, production, management, and services, providing customers with systematic and comprehensive enterprise intelligent manufacturing transformation and upgrading solutions, comprehensively building a digital factory, and contributing to the take-off of China's manufacturing industry.
3C Product Digital Factory Project
From Smart Manufacturing Blueprint to Implementation
Project Goals: To establish a digital factory demonstration project that automates, informs, and makes transparent the entire process from mobile terminal ordering to product delivery.
Project Results
Intelligent Equipment, Execution Control, Intelligent Decision-Making, Integration and Innovation
Intelligent Manufacturing Equipment - Fully Automated Digital Assembly Line
Fully automated process for mouse assembly, program burning, quality inspection, finished product packaging, and labeling. Automatic collection and analysis of all production process data (equipment, quality, efficiency, etc.).
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꙰ Unmanned mouse production process; ꙰ Online quality inspection of key processes, automatic rescheduling of defective orders; ꙰ Automatic collection of equipment operation data, operation status monitoring and efficiency analysis; ꙰ Automatic sorting and supply of materials for personalized orders; ꙰ Full feedback of order/work order production line progress data; ꙰ Real-time monitoring of equipment energy consumption data, real-time collection of energy consumption data; ꙰ One-button start: power-on start, equipment reset, power-on status detection. |
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Intelligent Equipment - Automated Automated Warehouse
Material storage, automatic loading and unloading, finished product entry and exit, automatic return of empty pallets, real-time upload of inventory data.
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꙰ Manual raw material warehousing/replenishment operations: After parts are loaded onto trays, scan and enter the warehouse; ꙰ The automated warehouse stacker crane is connected to the production line dock, and materials are supplied on demand during the production process; ꙰ Safety stock status reminder; ꙰ Automatic warehousing and outbound of finished products; ꙰ Available production inventory can be calculated and uploaded when the customer places an order; ꙰ Monitoring of stacker crane operating efficiency and status, and real-time data upload. |
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Intelligent Equipment - Intelligent Transport Robot (IGV)
IGV intelligent logistics delivery robot: Using AGV and scheduling technology to achieve automated and intelligent logistics scheduling.
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꙰ Realize automatic connection and delivery of finished products, automatic return of empty pallets; ꙰ Multi-level safety alarm mechanism: software system monitoring and control, real-time laser obstacle detection, bumper with collision emergency stop function (braking distance 2CM), emergency stop button, etc. ꙰ Feasible area design: Restrict the driving area of IGV in the factory to prevent out-of-bounds operation; ꙰ Manual intervention mechanism of the scheduling system: Provide rich user commands to properly handle situations such as IGV disconnection, task failure, and traffic jams; ꙰ High parking accuracy; ꙰ Highly flexible scheduling system with clustered design;
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Operational Management Informatization - TSAMO Software Platform
With the self-developed TSAMO (Total Solution for Advanced Manufacturing Operation) platform as the core, digital management of the entire life cycle from customer orders to product delivery, integrating advanced automation technology, logistics and warehousing technology, and lean production ideas, connecting data acquisition and analysis from the equipment control layer to the operation management layer.
꙰ Customer order management: The CRM system receives personalized orders from e-commerce platforms or WeChat, and formulates the optimal production strategy according to the delivery date and existing resources.
꙰ Automatic sorting and material supply system: Material demand calculation starts from customer order placement, and materials are supplied on demand during the production process through the TSAMO information platform;
꙰ Real-time monitoring and analysis of equipment operation data, continuous improvement of equipment failure analysis and solutions;
꙰ Collection and analysis of quality inspection data for key processes during production;
꙰ Real-time collection of energy consumption data during production, analysis of equipment energy utilization rate. Improve based on equipment operating efficiency and fault statistics analysis.
Intelligent Decision-Making - Digital Decision-Making
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꙰ Equipment interconnection, equipment operation data analysis, equipment fault prediction and remote solution of equipment faults. ꙰ Statistical analysis of production process line balance loss time, equipment capacity load prediction. ꙰ Online quality inspection and data analysis, process capability index analysis and process capability assessment, improvement. ꙰ Production energy consumption data collection, product production unit cost control; ꙰ Detection of the service life of easily damaged parts, early warning of the service life of easily damaged parts; ꙰ Monthly, quarterly, and annual operational KPI data analysis reports for the factory. |
꙰ Analysis of product sales area data; ꙰ Analysis of customer complaint distribution and causes; ꙰ Analysis of customer preferences for product performance and functions; ꙰ After product intelligence, big data analysis can be used to achieve product maintenance and functional improvements; ꙰ Targeted product upgrades and future market predictions for products; |
