——Tire Industry MOM Platform (Manufacturing and Operations Platform)

• Centralized control of multiple factories - controllable factory operations to avoid management being too far behind

• Regional Capacity Collaboration - Real time Visualization of Capacity, Strengthening Risk Adjustment Capability

• Intelligent production command - reducing human intervention and solving the problem of overseas employment

• Full stack business coverage - low code, high availability, connecting manufacturing and operation processes

——AI application in the tire industry (industrial intelligence brain)

• Introducing industrial intelligent brain: Accelerating the leap of manufacturing system towards self perception, self analysis, self decision-making, and self execution.

• Real time data triggers execution decisions: automatically identifies personalized order status, adapts processes, organizes manufacturing resources to complete production operations, material distribution, and quality inspection

• System command replaces human brain work: reduces human error and reliance on skilled workers, and lowers labor costs.

• Standardization: significantly improves the output efficiency and quality stability of products.

——Tire Industry APS System (Advanced Planning and Scheduling System)

• Integrate MES for real-time coordination between planning and execution, enabling closed-loop control.

• Dynamically allocate resources based on real-time shop floor status to handle issues like equipment failures.

• Maximize key resource utilization and boost output by 20%.

• Reduce reliance on manual scheduling and shorten the planning cycle.

• Enhance agility, speed up delivery, and minimize resource conflicts and waste.

——Tire Industry MES System (Manufacturing Execution System)

• Tire companies can digitally manage multi-factory manufacturing, enhancing process standardization.

• Enable collaborative management of production, quality, equipment, materials, alarms, tooling, costs, and performance.

• Use real-time data to drive execution, improve efficiency, and reduce waste.

• Provide real-time visibility into workshop operations, process execution, and resource use.

• 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

——Tire Industry WMS System (Warehouse Logistics System)

• Provide tire industry solutions compatible with both manual and automated logistics modes.

• Optimize logistics efficiency through lean manufacturing integrated with planning, scheduling, and execution.

• Leverage IoT to coordinate AGV, stacking, sorting, palletizing, EMS, and vertical warehouse systems.

• Use abstract logistics modeling to support seamless upgrades from manual to automated execution.

• 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

• Digital capabilities support large-scale customization in automotive, enabling fast response to market changes.

• OTD-based system ensures real-time, end-to-end order and delivery response.

• Group-level architecture adapts to multi-factory, multi-base operations.

• Intelligent scheduling meets single-factory production and resource optimization needs.

• Standard interfaces (ERP, MES) enable seamless data sharing and integration.

• 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

——EAM system (equipment management system) for the tire industry

• Standard protocol specifications+IoT suite as the core, creating industry equipment interface standards

• Building an integrated intelligent industrial control system with loosely coupled interface management mode, minimalist architecture, and software definition

• Command devices through software to enhance the intelligence level of traditional devices and improve device utilization

• Integrated development efficiency has increased by more than 3 times, and development costs have been reduced by 30%

• 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

• Integrate diverse automotive warehousing scenarios (flat, shelving, vertical) and logistics models (JIT/JIS/KANBAN/SPS).

• Build a standardized logistics platform to optimize business order and economic benefits.

• Optimize usage time and batch delivery to reduce line-side material backlog.

• Enable fast collaboration with suppliers, 3PLs, and in procurement and distribution.

• Enhance adaptability to production changes, ensuring on-time logistics.

• 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

——LIMS system (laboratory management system) for the tire industry

• Integrate equipment data and experimental data to achieve automatic data collection and analysis, and improve detection efficiency

• Resolve difficulties such as multiple report styles and cumbersome management, and bridge the gap between business and data flows

• Structured data, real-time linkage of whole process data such as raw material analysis, process parameters, and testing results

• Assist in innovative research and development, accumulate data assets for tire enterprises

• 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

• Support one-vehicle-one-BOM to accurately transmit configuration data for high customization.

• Ensure accurate, consistent process and switching data directly connected to workshops.

• Meet control requirements for critical processes under IATF16949 standards.

• Collect vehicle location data to reflect real-time production status.

• Capture inspection data across four major workshops to build complete vehicle files.

• Enable unified control across multiple sites, with direct on-site instruction delivery.

• 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

• Nearly 20 tire factories have delivered 100% of their digital projects.

• Experienced in implementing overseas projects, covering Southeast Asia, Africa, and Europe.

• Experienced in the industry, company experts were invited to participate in the "15th Five Year Plan for the Development of the Tire Industry" organized by the China Rubber Industry Association and the Tire Branch.

• 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

• Enable equipment networking and group control for efficiency: auto commands, real-time monitoring, error prevention, quality alerts, and fault diagnosis.

• Use digital device mirroring for KPI tracking and analysis.

• Support diverse interface protocols and data sources.

• Provide energy consumption stats and cost analysis with predictive optimization.

• Achieve edge computing-based interconnection across machining, assembly, testing, storage, transport, and energy equipment.

• 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

• 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

• Compliant with automotive industry quality traceability system regulations, integrating quality data from different stages

• Closed loop management of quality issues, automatic data collection, automatic alarm and feedback for anomalies

• ANDON system, responsible person for real-time transmission of workstation abnormal information on the large screen and SMS

• Automatic collection of process quality data, one vehicle per file, establishing a complete vehicle quality file

• Isolation and control of defective products, handling issues in a timely manner to avoid large-scale product recalls or customer complaints