The ten intelligent manufacturing technologies are closely related to each other. Manufacturing enterprises should gradually and rationally promote the application of these ten intelligent technologies.
1. Intelligent Product
Intelligent products typically include mechanical, electrical and embedded software with memory, perception, computing and transmission capabilities. Typical smart products include smart phones, smart wearable devices, drones, smart cars, smart home appliances, smart vending machines, and many smart hardware products. Intelligent equipment is also a kind of intelligent product. Enterprises should think about how to add intelligent units to products to improve the added value of products.
2. Intelligent Service
Based on sensors and the Internet of Things (IoT), it can sense the state of the product for preventive maintenance, help customers replace spare parts in a timely manner, and even help customers bring business opportunities by knowing the state of the product operation. It can also collect big data of product operation to assist enterprises to make marketing decisions. In addition, the development of customer-oriented apps by enterprises is also a means of intelligent service, which can provide targeted services for the products purchased by enterprises, so as to lock users and carry out service marketing.
3. Intelligent Equipment
Manufacturing equipment has experienced from mechanical equipment to numerical control equipment, and is gradually developing into intelligent equipment. The intelligent equipment has the detection function, can realize the machine detection, so as to compensate the machining error, improve the machining accuracy, but also can compensate the thermal deformation. In the past, some precision equipment had high requirements on the environment, but now because of the closed-loop detection and compensation, it can reduce the requirements on the environment.
4. Intelligent production line
Enterprises in many industries highly rely on automated production lines to achieve automated processing, assembly and testing. Some mechanical standard parts are also used in the production of automated production lines, such as bearings. However, equipment manufacturers are still focusing on discrete manufacturing. Many enterprises focus on technological transformation, is to establish automated production lines, assembly lines and detection lines.
5. Intelligent workshop
A workshop usually has multiple production lines, which either produce similar parts or products, or have upstream and downstream assembly relationships. In order to realize the intelligent workshop, it is necessary to collect and analyze the production status, equipment status, energy consumption, production quality, material consumption and other information in real time, carry out efficient production scheduling and reasonable scheduling, and significantly improve the utilization rate of equipment (OEE). Therefore, no matter what manufacturing industry, manufacturing execution system (MES) becomes the inevitable choice of enterprises.
6. Smart Factory
A factory usually consists of more than one workshop, large enterprises have more than one plant. As an intelligent factory, not only the production process should be automated, transparent, visible and lean, but also the product testing, quality inspection and analysis, production logistics should be integrated with the production process in a closed-loop manner. Multiple workshops in a factory should realize information sharing, on-time distribution and collaborative work. Some discrete manufacturing enterprises have also established a production command center similar to that of a process manufacturing enterprise to command and dispatch the entire factory to discover and solve sudden problems in time, which is also an important symbol of intelligent factories.
7. Intelligent Research and Development
To develop intelligent products, enterprises need multi-disciplinary cooperation of mechanical and electrical software. To shorten the cycle of product development, it is necessary to deeply apply simulation technology, establish virtual digital prototype, realize multidisciplinary simulation, and reduce the physical test through simulation. Need to implement the idea of standardization, serialization, modularization, in order to support mass customer customization or product customization; It is necessary to combine simulation technology with test management to improve the confidence of simulation results.
8. Intelligent Management
In recent years, master data management (MDM) has been deployed in large enterprises to manage the core master data in a unified manner. The most important condition for realizing intelligent management and decision-making is the accuracy of basic data and seamless integration of main information systems.
9. Intelligent logistics and supply chain
The procurement, production and sales processes of manufacturing enterprises are accompanied by the flow of materials. Therefore, more and more manufacturing enterprises pay attention to the production automation at the same time, but also pay more and more attention to the automation of logistics. Automatic three-dimensional warehouse, unmanned guided car (AGV), intelligent hanging system has been widely used. In the logistics center of manufacturing enterprises and logistics enterprises, the application of intelligent sorting system, stacking robot and automatic roller table system is increasingly popular.
10. Intelligent Decision Making
In the course of operation, a large amount of data is generated. On the one hand is the core business data generated from various business units and business systems. At the same time, enterprises can use these data to extract enterprise KPIs and compare them with preset goals. From a technical point of view, in-memory computing is an important support for BI.
