(1) Enterprise information application has been upgraded from Enterprise 1.0 to Enterprise 2.0. The enterprise form in the Enterprise 2.0 era will transform the production paradigm into a service paradigm.
In the past, the focus of enterprise informatization was on "digital management," with financial management as the main line, to achieve digital management of various business units, thereby enabling enterprises to reduce staff, increase efficiency, and achieve strategic control.
Enterprise 2.0 is a shift from the past production paradigm to a service paradigm, using next-generation information technology tools such as cloud computing and the Internet of Things, represented by mobile technology, to achieve industrial platformization, ecosystemization, management platformization, and business model innovation.
(2) Reshape the industrial chain based on the advantages of the value chain to form a new ecological chain.
(3) Omnichannel marketing management empowers upstream and downstream value chains, enabling the industry chain to operate in a coordinated and efficient manner.
(4) Establishment of a product traceability platform
Each product is assigned a unique identification code. Records are maintained at each stage, from raw material procurement batches, production processes, quality inspection, finished product completion, internal logistics, sales distribution, and service. Multiple methods, including barcodes, RFID, and laser codes, are used to identify the product and its raw materials. Based on this identification code, the entire process of product quality, production, and logistics can be traced.
(5) Build a digital factory and intelligent manufacturing platform based on the traditional MES system.
Transparency, balance, and efficiency are the goals of building digital factories and intelligent manufacturing platforms.
① By managing the entire process from raw materials, planning, production, packaging, product allocation to delivery, we can achieve transparency in the manufacturing process and production line resources, helping manufacturing enterprises improve operational efficiency, shorten delivery time, reduce costs and improve quality.
② By understanding the real-time status of the factory and conducting big data analysis, we can achieve a balance between material consumption, production load, and production plans.
③ Achieve efficient on-site management through technologies such as equipment automation, product intelligence, status perception and control, and manufacturing simulation.
The future application scenario of MES system is to integrate automated production equipment to realize the automatic collection of data information, drive production factors such as raw materials, production lines, personnel, and equipment, and connect all links in the production, quality inspection and circulation fields, thereby realizing the tracking and traceability of the entire product life cycle.
(6) IoT-based device operation and maintenance cloud service platform
Enterprises establish IoT device operation and maintenance cloud service platforms to connect devices, monitor online, diagnose intelligently, and coordinate maintenance services. This enables data to be in the cloud, devices to be online, and services to be available on mobile devices, changing the traditional equipment operation and maintenance management model of enterprises, reducing operation and maintenance costs, and improving operation and maintenance efficiency and user service experience.
