Shulou(Shulou.com)06/03 Report--

With the progress and development of digital technology, intelligent factory has become the industrial foundation of intelligent manufacturing, and the level of information technology has become a key element in the development of intelligent factory. MES system can help to realize the digitization, systematization and high efficiency of production process, so as to help enterprises realize the transformation and upgrading of production system and speed up the production process and the renewal of new products. Promote the continuous development of enterprises from simple industrial production to meet the needs of customer personalized service.

The functions of MES system in the construction of intelligent factory are mainly reflected in four aspects, namely, network function, transparent management function, paperless function and precision function, which are also the ultimate goals of intelligent factory construction. The key to achieving these functions is that the MES system must be based on big data collection of each production link of the factory, through powerful cloud computing capabilities. Realize the omni-directional tracking and analysis of the data, and finally realize the intelligent factory solution of the system.

Litins, as a leading intelligent manufacturing solution provider, has been committed to providing enterprises with intelligent chemical plant, digital chemical plant overall solution, with completely independent intellectual property rights of LitWorks basic platform, LitWise product system and LitCloud industrial cloud platform, one-stop solution application breaks the isolated island of enterprise information. Among them, LitWise MES can integrate and analyze the fragmented and fragmented data of the enterprise, realize the interconnection of all levels of data flow between the enterprise and the production, open up all the key links of the enterprise from the planning layer to the industrial monitoring level, and realize the overall optimization of the process, and finally improve the asset use efficiency and production efficiency of the manufacturing enterprise, reduce the production cost and improve the market adaptability. Improve the comprehensive competitiveness of enterprises.

With the development of intelligent manufacturing technology, industrial Internet of things, cloud computing and other technologies, the depth and breadth of MES will also be greater:

The scope of the MES system will be gradually expanded. The MES system will not only include the manufacturing workshop, but also cover the business processes of the entire enterprise. Through the establishment of a unified factory data model of logistics, quality and equipment status, the data can better meet the needs of business process change and reorganization, and truly realize the openness, configuration and easy maintenance of the MES software system. In the integration mode, through the design and development of MES system, MES and other information components of different software vendors can realize standard interconnection and interoperability, and realize the function of "plug and play" at the same time.

MES system helps enterprises to realize collaborative manufacturing. The development of Internet technology has more and more influence on the manufacturing industry. in the future, MES system will help enterprises to realize networked collaborative manufacturing. Through the real-time information interconnection of factories distributed in different locations and even around the world, and using MES as the engine for real-time process management, in order to cooperate with all the production activities of enterprises, a process-oriented, agile and hierarchical management mode can be established. In addition, MES will go beyond the current scope of internal individuals and organizations in collaborative manufacturing, and expand to connect with suppliers and customers. In terms of manufacturing intelligence, it will not be limited to collection, analysis and presentation, but will further achieve on-site real-time analysis, collaborative intelligent decision-making, timely adjustment of manufacturing execution process, and ultimately help enterprises to achieve intelligent production and build intelligent factories.

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