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MES
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Functional architecture
MES功能架构
Product Features
MES solution
Material management
Material management
The material management module of MES system realizes the full life cycle tracking of raw materials, semi-finished products and finished products, including material requirement calculation, procurement, warehousing, outbound, consumption and other links.
Process management
Process management
The process route, operational procedures, and parameter settings of the production process. Ensure standardized execution of process flow through digital means, support customization and version control, effectively prevent process errors, and promote continuous optimization and upgrading of production processes.
Plan management
Plan management
MES provides flexible and accurate production scheduling tools, which develop optimal production plans based on customer demand, material supply status, and capacity load, and can be adjusted in real time to respond to changes.
Production management
Production management
MES implements real-time data collection and feedback mechanisms, dynamically displays work order progress, output statistics, and worker performance. The system can schedule production tasks in real time, guide on-site operations, and ensure that production activities proceed in an orderly manner according to the predetermined plan.
Quality Assurance
Quality Assurance
MES is embedded with a strict quality control system, covering multiple aspects such as incoming inspection, process inspection, and completion inspection, to ensure that product quality meets standard requirements.
Device management
Device management
Automatically record equipment usage history, predict maintenance cycles, and optimize equipment utilization based on actual operating data. By providing preventive maintenance reminders and fault warnings, unplanned downtime is significantly reduced and equipment lifespan is extended.
Tool and fixture management
Tool and fixture management
The fixture management module tracks its usage frequency, verification cycle, and maintenance status, supports the application, borrowing, and return process of fixtures, avoids production delays caused by missing or ineffective fixtures, and ensures smooth production activities.
ANDON management
ANDON management
Combining the lean production concept, MES provides Andon management function, where employees can quickly transmit problems that occur on the production line to relevant departments by triggering an exception report with one click through a visual operation panel.
KANBAN Management
KANBAN Management
The MES system integrates various data analysis reports and visual dashboards covering key performance indicators from multiple dimensions such as production efficiency, quality statistics, equipment OEE, and material loss. These real-time updated reports and dashboard interfaces provide comprehensive and in-depth insights for business decision-makers.
The Application of AI Technology in MES
Intelligent scheduling and scheduling optimization
Intelligent scheduling and scheduling optimization
AI can dynamically optimize production plans and job scheduling by learning historical data and analyzing production conditions in real-time, in order to adapt to constantly changing market demands and production line conditions, ensuring maximum resource utilization.
Material demand forecasting
Material demand forecasting
By utilizing AI technology to analyze multidimensional information such as historical orders, sales trends, and market changes, we can accurately predict future material demand and reduce inventory backlog or shortages.
Abnormal detection and handling
Abnormal detection and handling
Using AI to establish anomaly detection models, real-time monitoring of various data streams in the production process, quickly identifying potential problems and triggering corresponding response measures, effectively preventing the occurrence of defective products and production interruptions.
Quality Control
Quality Control
The AI assisted visual inspection system can identify product defects in real time and improve the accuracy of quality judgment through deep learning models, thereby enhancing product quality and consistency.
Adaptive process optimization
Adaptive process optimization
AI can automatically adjust production process parameters based on real-time feedback of parameters in the production process, achieving the goal of optimal performance or minimum energy consumption.
Benefits to customer
Faster response speed

Faster response speed

MES supports flexible production mode switching, quickly adjusts production plans according to market demand, shortens product delivery cycles, and meets customers' personalized customization needs.
Improve data silos and achieve seamless integration with other business systems

Improve data silos and achieve seamless integration with other business systems

MES can seamlessly integrate with other information systems such as ERP, SCM, PLM, etc., forming an integrated information flow, eliminating information silos, and improving overall operational efficiency.
Production efficiency improvement

Production efficiency improvement

MES can monitor and control the entire production process in real-time, reduce waiting time and downtime through precise scheduling and scheduling, and improve equipment utilization and production rhythm.
Improvement of product qualification rate

Improvement of product qualification rate

Implement a comprehensive quality management system that records, tracks, and controls every step from raw material entry to finished product exit, achieving SPC (Statistical Process Control) and reducing the production of defective products.
Cost reduction

Cost reduction

MES effectively reduces waste through the concept of lean production, including seven major wastes such as overproduction, waiting, transportation, overprocessing, inventory, and defects.
Customer Cases
Jiangling Motors Toyama Factory
Jiangling Motors Toyama Factory
Project Introduction:

The new factory needs to introduce MES system for comprehensive production management to reduce WIP inventory and improve equipment OEE indicators.

Solution:

Optimize production scheduling to achieve timely delivery;

Standardize production process flow, seamlessly integrate with production equipment, improve automation rate, and make production efficiency at the leading level in the industry.
Meijun Electronics
Meijun Electronics
Project Introduction:

Customers manually develop segmented production plans, and the production achievement rate is obtained through WeChat. This approach has encountered bottlenecks. Resulting in a large workload, insufficient accuracy, difficulty in obtaining production achievement rates, long acquisition cycles, and difficulties in statistical analysis. And the warehouse operation method is manual paper recording, which has poor real-time performance and insufficient accuracy. The quality data is mostly manually recorded in paper files, with low query efficiency and difficult quality data analysis. The appearance urgently needs improvement.

Solution:

Provide system planning and production scheduling to achieve full process planning and control of Tongfang Weishi, connecting planned orders, production, warehousing, and customer needs; Implement system planning and manufacturing;

Real time collection of production data through MES system and visualization of the entire manufacturing process;

The production process requires minimal manual intervention and achieves transparent management;

Warehouse docking lights up intelligent shelves, improving material preparation efficiency and reducing human errors;
Nitto Renewable Energy
Nitto Renewable Energy
Project Introduction:

The increase in customer output without accurate equipment, manpower, and material load references in the production plan results in inaccurate planning and material demand planning, leading to material waste or shortage. Manual warehouse management is the main approach, which can easily lead to errors in receiving and sending, and is difficult to trace. Manually moving tickets to manage the production process results in delayed information transmission and poor traceability. Therefore, it is necessary to introduce MES system to keep up with the production scale.

Solution:

By integrating with ERP, MES receives production orders and generates daily, weekly, and monthly production plans;

Automatically generate material requirement plans based on production schedules to reduce manual involvement;

Material barcode management, accurate entry and exit data, easy traceability, and improved inventory efficiency;

MES system reporting, timely uploading of production data, achieving transparent management of the production process;

Real time collection of equipment status parameters, monitoring of equipment status and key parameters, and improving the efficiency of equipment OEE statistics.
SHIMGE water pump
SHIMGE water pump
Project Introduction:

The customer has planned a new factory and hopes to introduce the latest technology and digital concept of MES system to manage production execution, get rid of the old manual operation mode, shorten supply chain delivery time, improve inventory turnover rate, reduce equipment failure rate, and improve plan achievement rate.

Solution:

Collaborative planning and production scheduling: Provide APS to achieve full process planning and control in the New Territories, connecting planned orders, production, warehousing, and customer needs;

Reduce inventory: Through the connection of relevant systems, tracking information can be provided for the overall production process;

Quality improvement: MES prevents errors and mistakes throughout the entire process in the New Territories, ensuring that production factors meet production requirements;

Strengthen data analysis: information analysis of KPI projects; Production analysis can be conducted through manufacturing history information.
Lianwei Automobile
Lianwei Automobile
Project Introduction:

Most of the documents on the customer's production site are manually recorded in paper form, resulting in a large workload for planning and scheduling changes. The materials used are based on worker experience, and various production factors are disconnected from the work order, making traceability difficult. The production collaboration method is to deliver materials according to the work order and manually verify the results, which is inefficient and costly. We urgently need MES to improve work efficiency, yield, and traceability, while also requiring cost reduction.

Solution:

Rapid scheduling of the system, supporting distribution to the process/equipment level, reducing workload;

Produce according to orders, report work according to procedures, produce materials according to regulations, achieve error prevention and real-time transparency of production data;

Process quality control, combined with Andon's reminder;

Transparency of on-site material storage;

Personnel capability and job matching matrix;

Improve the quality traceability system for work orders.
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