Abandoning traditional models and introducing industrial intelligent brains: By introducing industrial intelligent brains, comprehensive intelligent management of production affairs can be achieved.
Intelligent control covering the entire process: from raw material allocation to seamless integration of production processes, to quality inspection of finished products, all are efficiently controlled.
Reduce errors and time waste: Minimize human error and time loss to the greatest extent possible.
Assisting customers in enhancing market competitiveness: significantly improving product output efficiency and quality stability.
involving the digital transformation of nearly 20 tire factories.
From domestic factories to factories in Thailand, Vietnam, and Morocco.
We have accumulated rich experience in project implementation.
MES、 Raw material WMS, finished product WMS, AS scheduling
LIMS, APP platform, spare parts system, data center
Tire big model AI application, power station chain management system.
With the help of an intelligent production scheduling system, resources and time nodes are accurately matched for each process.
Based on this, optimize on-site scheduling and accurately control key information such as material inventory and equipment status.
Anticipate the risk of material shortage in advance, ensure production continuity, and eliminate potential downtime hazards.
Realize multi-variety planning and scheduling based on limited capacity
Implement production plan to pull material demand and drive product delivery logistics
Accurate planning and scheduling optimize the utilization of manufacturing resources
The production planning, execution and feedback form a business closed loop to realize lean management
Quality inspection data acquisition
Key parts information collection
Assembly quality information collection (process parameters, quality inspection data)
Quality data traceability
Intelligent algorithm to meet a variety of scheduling scenarios
Multi-level planning and scheduling, direct production planning process
Panoramic resource and demand analysis, planning and demand balance control
Comprehensive control of project progress
Full control of planning system data chain
Scheduling constraints, policy deduction, execution closed-loop tracking
Collaborative group batch, multi-objective optimization, time slicing algorithm, multi-model analysis
Effectively reduce waste, return glue ratio, control material cost
Develop long-term plans based on the overall plan of capacity
Demand and supply linkage, supply chain coordination
Arrange the operation plan at different levels for workshop, process and equipment
According to the actual implementation of the plan, the global plan tracking and change control are realized
? Intelligent scheduling to achieve unified scheduling of multi-level plans, based on the homogeneity of production resources
? Make multi-level plans for body plant, frame plant and assembly plant
? Realize the step-by-step decomposition from the final assembly plan to the workshop and production plan of the body and frame factory
? Realize the collaborative linkage of supply chain production planning
Equipment static comprehensive management, complete the whole process control of equipment classification management - finding problems - joining the regular inspection plan - maintenance workers single pool
Improve the health of equipment, complete the new leap in equipment utilization under the precise planning schedule
Equipment interconnection, clear grasp of equipment running status, management work targeted
Build a complete equipment management knowledge system to form a knowledge base
Intelligent picking of raw materials, workshop warehouse and finished product warehouse to reduce part picking errors
RFID WIP and circulation equipment tracking and tracing in production workshop
Through the production site visualization, improve the processing accuracy and timeliness of material supply
Quickly and conveniently generate material pulling information, real-time monitoring of material shortage, improve the timeliness of fed-material distribution
Through visual management, improve the production site management ability
Through production material tracking to achieve optimal management, improve material utilization efficiency
Achieve real-time performance statistics, strengthen production related assessment
Through the host computer, sensing system, transportation system, cache system, sorting system, storage unit and other processes
Reduce the information uncertainty caused by personnel participation
Complete the traceability system of material flow
Realize the accurate management of edge material
Efficient use and reduction of production space
Direct process of assigning and distributing production tasks
Real-time display of production information of each station or process of the production line
In the case of many types of aircraft, the technological process of different types of aircraft is well controlled
Parallel production, process/production line production beat matching each other, efficient coordination
? Material delivery and pull based on JIT/JIS/KANBAN/SPS mode
? Optimize time-sharing distribution and batch distribution to reduce the material backlog in the line-edge warehouse
? Effectively reduce the inventory pressure of daily warehouse and line edge warehouse
? Cooperate with suppliers and third-party libraries (3PL) to speed up the procurement and distribution process
Rapid modeling, comparison, analysis, according to the actual needs of the enterprise for each dimension of quality analysis
Real-time quality related data acquisition, automatic generation of quality analysis report
The whole life cycle quality management of "raw material quality - production process quality - finished product quality - after-sales quality"
Job plan receiving and displaying
Product sequence and status on the assembly line
Equipment status information display and equipment spot inspection information maintenance
Material bar code acquisition
Lack of material or waste ANDON alarm
Station operator information collection
Strengthen process quality control, automatic correlation and judgment of quality information
Strengthen process quality early warning, monitor production parameters and process deviation, effectively avoid the spread of quality problems
Enhance the ability of quality traceability, quickly and accurately carry out the whole process of quality traceability
Establish industry equipment interface standards
Loosely coupled interface management pattern
Efficiently control and monitor equipment running status
Complete the "health portrait" of the equipment.
Improve equipment utilization, ensure production plan and quality stability
Overall quality management, whole process quality data collection and traceability
Visualization and closed-loop control of quality event processing
Provide accurate data for managers to make decisions, improve production efficiency and product quality
? Networked group control of equipment to improve equipment efficiency: automatic instruction delivery, real-time state monitoring, process anti-error control, quality trend early warning, fault intelligent diagnosis
? Digital equipment mirror model: KPI system, get KPI indicators of equipment and make statistical analysis
? Adapt to a variety of device interface protocols and data source types
? Energy consumption statistics, cost analysis; Scientific prediction and optimization of indicators
Improve the speed of business response, improve the collaboration relationship between businesses, and prevent non-compliance transactions
Establish efficient and three-dimensional production management mode
The multi-level production kanban board enables the management to grasp the production situation in real time
The flow of on-site materials is transparent, reducing material accumulation and reducing the number of on-site materials
ERP plan receiving and maintenance
Prepare production plan for assembly line and processing line according to resource constraints and configurations
Plan issuance and release
Production plan change management (order insertion, change handling)
Production plan query and export
ERP return on completion
Equipment abnormal rapid response, shorten production stagnation and waiting time
Improve the pertinence of equipment maintenance and reduce the cost of repair and maintenance
Improve equipment energy consumption management level, reduce production energy consumption
Detect the digital twin of the equipment and complete the integration of equipment data and experimental data
It solves difficulties such as multiple report styles and cumbersome management, and opens up business flow and data flow
Data structure, knowledge accumulation, tracking, analysis, speed up research and development efficiency
Help innovation research and development, improve the core competitiveness of products
Comprehensive control of equipment asset maintenance and spot inspection
Real-time acquisition of on-site production equipment data, graphical display
Get the production quantity and online processing status of each equipment in real time
Equipment failure real-time display, maintenance personnel timely grasp, fast processing
? Realize the data collection of vehicle point information and reflect the production status of the vehicle in real time
? Realize the digitization of regional location, inventory quantity and status information of WIP in workshop
? Data collection of the four major workshops and the inspection process, and the construction of complete vehicle files
? Realize multi-organization and remote unified control, and direct management instructions to the site
Machine tool availability and utilization analysis
Machine tool history information review
Machining workpiece information
Machine tool alarm and information collection, statistics
Assembly process personnel, products, assembly parts, assembly quality, assembly equipment processing parameters, equipment status, testing equipment, testing data
Data acquisition mode: bar code, RFID, equipment PLC interface, etc
Data statistics based on production process
Lean production related KPI index analysis: efficiency, output, quality, equipment
Realize the people-centered digital workshop management
Improve production site transparency, feedback speed, work efficiency
To achieve a high degree of unity of executive and personnel performance
Make enterprises pay more attention to HSE
Production monitoring and performance analysis
Capacity load assessment and process deviation monitoring
Process transparency and manufacturing decision support
Production process coordination and exception handling integrated management
? ANDON system, station abnormal information large screen, SMS real-time transfer relevant responsible person
? Electronic vehicle process quality inspection data collection and analysis, easy to find and analyze defects in the process
? Establish the definition of quality standards in line with industry standards and maintain the quality control plan
? Incoming material quality inspection data collection and quality judgment, realize the mutual traceability of the vehicle and key materials
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