With the popularity of industry 4.0 and advanced manufacturing concepts, enterprise transformation and entering the information age have become the theme of this era, and the factories and enterprises around us have also used MES system. However, with the increasing use rate of MES system, the pain point problem is also increasingly obvious. The message of MES system implementation failure comes out frequently. Soon, whether the implementation of MES system can really help enterprises solve the existing production problems, improve efficiency and a series of other problems has become a common question for enterprises.
Fang Tianyun MES manufacturing execution software system provides refined management of product life cycle, such as order management, production plan, production process control, material inventory management, product quality management, multi-dimensional analysis report, etc. Help enterprises integrate the supply chain, realize the integrated workshop management mode, improve the workshop automation execution ability; build lean and visual automatic production workshop, improve production transparency and production efficiency, build a digital chemical plant, and realize intelligent manufacturing. Through the realization of innovation that really affects the future development, it helps enterprises around the world to obtain a lasting competitive advantage.
1. Schedule
On the premise of limited resources and capacity, the corresponding job sequencing and job scheduling are used to optimize the job shop planning, minimize the preparation time in the production process, and improve the efficiency and performance of the production process.
2. Process control
Monitor production process, automatically correct production errors, and provide decision support to users to improve production efficiency. Process management shall also include alarm function. Through barcode and RFID Management, it can effectively realize the tracing of human, machine, material, environment, law and other information.
3. Quality management
Through online quality inspection and offline laboratory analysis data and other quality information records, track and analyze the quality status of each process in the process of processing and assembly, to ensure the product quality within the control range, and provide relevant suggestions for quality improvement to relevant personnel.
4. Data collection
Through barcode, RFID, PLC, OPC UA and other technologies, the process data is collected, and the field data from personnel, machine, equipment, operation, process, materials and other aspects are collected to form the current status information of the process for further use by other relevant systems and personnel.
5. Visual management
The whole process of lean production visual management tool is used to monitor production progress, quality status, equipment status and efficiency, feed back production problems in real time, and realize automatic push of electronic Kanban, email, SMS and wechat.
6. Equipment maintenance
By monitoring the status of equipment, data collection and maintenance guidance and other relevant measures, to ensure the normal operation of machinery and equipment and related assets, greatly improve the efficiency of enterprise equipment operation.
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