What are the functions of MES intelligent manufacturing? MES system is a production information management system for the executive layer of manufacturing enterprises. MES can provide manufacturing data management, planning and scheduling management, production scheduling management and inventory management for enterprises.
1, process control
MES manages the whole production process of production orders, and through real-time monitoring of all emergencies in the production process, it can automatically correct errors in the production process or provide decision support to meet the production scheduling requirements. When there is any abnormality or major deviation in the production plan, timely feedback the relevant personnel to take corresponding measures.
2. Task scheduling.
After the production plan is completed, MES automatically generates a task dispatch list, and formulates and optimizes the specific production process and the detailed operation sequence of each equipment according to the change of the actual processing capacity of the production equipment; In order to improve the flexibility of production, according to the specific situation of production execution and equipment, combined with resource allocation, production tasks are dynamically allocated on site.
3. Quality management
MES system tracks the whole production process from raw materials entering the factory to finished products entering the warehouse, and collects data of raw materials, production equipment, operators and process batches in real time, providing basis for product use, design improvement and quality control. According to the test results, determine the product problems and provide corresponding decision support.
4. Data collection.
MES adopts different data acquisition methods according to different data, application scenarios, personnel capacity and equipment input. , and real-time access to a variety of processes, equipment, materials, products data, statistical analysis into other systems and managers need information.
Most MES modules are well used in enterprises, but the actual production situation of enterprises is different. Due to the production reasons and capital constraints of factories, the selection of modules may be different. What modules must enterprises consider before entering MES system, and what key problems need to be solved?
Generally speaking, the implementation of MES system in enterprises is planned and distributed, because MES system itself has good openness and scalability. Enterprises should not only pay attention to immediate interests, but also have a long-term planning goal before implementation, which will play a positive role in the implementation of MES system in the future and save their own costs.
China has invested a lot in intelligent manufacturing system and technology, but most of them are still in the stage of exploring the application of artificial intelligence in manufacturing field. In recent years, the comprehensive "intelligent" research on manufacturing environment is still in its infancy, and many different levels of systems for specific links and different types of manufacturing processes have been developed, such as expert systems or intelligent auxiliary systems.
From the hierarchical point of view, the control structure of the factory can be divided into the following layers, namely, the factory layer, the workshop layer, the unit layer and the equipment layer, and the MES system is generally at the workshop layer and the unit layer.
Therefore, it may overlap with ERP system in the implementation process. Under the premise that ERP system is responsible for the guidance of decision-making plan, MES system analyzes short-term production plan according to the real-time data generated by workshop production, and optimizes the data through real-time control.
Therefore, data collection, analysis and layer-by-layer summary are the main manifestations of MES system optimization, and more and more data make MES system more powerful.
In terms of information interaction, MES system will also optimize the data such as cycle counting, production capacity, material consumption and labor performance reported to the superior, and issue various parameters to the subordinate.