Germany’s industry 4.0, made in China 2025 and intelligent manufacturing are three words that must be familiar to everyone. However, not everyone knows the connotation of intelligent manufacturing and the ten key technologies. You will have a more comprehensive understanding of intelligent manufacturing by reading this article.
Intelligent manufacturing is to realize the intellectualization and innovation of the whole manufacturing value chain, and is the further promotion of the deep integration of informatization and industrialization.Intelligent manufacturing integrates information technology, advanced manufacturing technology, automation technology and artificial intelligence technology.Intelligent manufacturing includes the development of intelligent products; the application of intelligent equipment; the establishment of intelligent production lines from bottom to top, the construction of intelligent workshops and intelligent factories; the practice of intelligent R & D; the formation of intelligent logistics and supply chain system; the development of intelligent management; the promotion of intelligent services; and the final realization of intelligent decision-making.
At present, the “intelligence” of intelligent manufacturing is still at the level of smart. Intelligent manufacturing system has the ability of data acquisition, data processing and data analysis, and can accurately execute instructions and realize closed-loop feedback. The trend of intelligent manufacturing is to truly realize “intelligent”, and intelligent manufacturing system can realize independent learning, independent decision-making and continuous optimization.
Ten key technologies of intelligent manufacturing
Among the key technologies of intelligent manufacturing, intelligent products and intelligent services can help enterprises bring innovation of business model; intelligent equipment, intelligent production line, intelligent workshop to intelligent factory can help enterprises realize innovation of production mode; intelligent R & D, intelligent management, intelligent logistics and supply chain can help enterprises realize innovation of operation mode; and intelligent decision can help enterprises realize innovation of operation modeTo help enterprises realize scientific decision-making.The ten technologies of intelligent manufacturing are closely related to each other. Manufacturing enterprises should promote the application of these ten technologies gradually and rationally.
1 intelligent products
Intelligent products usually include mechanical, electrical and embedded software, with memory, sensing, computing and transmission functions.Typical intelligent products include smart phones, smart wearable devices, UAVs, smart cars, smart appliances, smart vending machines, etc., including many intelligent hardware products.Intelligent equipment is also an intelligent product.Enterprises should think about how to add intelligent units to products to enhance the added value of products.
2 Smart Services
Based on sensors and Internet of things (IOT), we can sense the status of products, carry out preventive maintenance, help customers replace spare parts in time, and even help customers bring business opportunities by understanding the status of products.It can also collect big data of product operation to assist enterprises in making marketing decisions.In addition, the development of customer-oriented app 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.Intelligent equipment has detection function, which can realize on machine detection, so as to compensate machining error, improve machining accuracy, and compensate thermal deformation.In the past, some precision equipment had high requirements for the environment. Now, with Closed-loop Detection and compensation, the requirements for the environment can be reduced.
4 intelligent production line
Enterprises in many industries highly rely on automatic production lines, such as steel, chemical, pharmaceutical, food and beverage, tobacco, chip manufacturing, electronic assembly, automobile and parts manufacturing, to realize automatic processing, assembly and testing. Some mechanical standard parts production also use automatic production lines, such as bearings.However, the equipment manufacturing enterprises still focus on discrete manufacturing.The key point of technological transformation of many enterprises is to establish automatic production line, assembly line and inspection line.The U-shaped pulsating assembly line has been established in Boeing’s aircraft assembly plant.Automatic production line can be divided into rigid automatic production line and flexible automatic production line, flexible automatic production line generally establishes buffer.In order to improve production efficiency, industrial robots and hanging system are widely used in automatic production line.
5 intelligent workshop
A workshop usually has multiple production lines, which either produce similar parts or products, or have upstream and downstream assembly relationship.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, so as to make efficient production scheduling and reasonable shift scheduling, and significantly improve the equipment utilization rate (OEE).Therefore, no matter what manufacturing industry, manufacturing execution system (MES) becomes the inevitable choice of enterprises.
6 smart factory
A factory is usually composed of multiple workshops, and large enterprises have multiple factories.As an intelligent factory, not only the production process should realize automation, transparency, visualization and lean, but also the closed-loop integration of product detection, quality inspection and analysis, and production logistics with the production process.Information sharing, on-time delivery and collaborative operation should be realized among multiple workshops in a factory.Some discrete manufacturing enterprises have also established production command centers similar to process manufacturing enterprises to command and dispatch the whole factory, and find and solve unexpected problems in time, which is also an important sign of intelligent factory.Intelligent factory must rely on seamless integration of information system support, mainly including PLM, ERP, CRM, SCM and MES five core systems.The intelligent factory of large enterprises needs to apply ERP system to make production planning of multiple workshops, and MES system can make detailed production scheduling according to the production plan of each workshop. The strength of MES scheduling is days, hours, even minutes.
7 intelligent R & D
Discrete manufacturing enterprises have applied CAD / CAM / CAE / CAPP / EDA and PDM / PLM system in product development, but the level of application of these software in many enterprises is not high.In order to develop intelligent products, enterprises need multi-disciplinary cooperation of electromechanical software; in order to shorten the product development cycle, enterprises need to deeply apply simulation technology, establish virtual digital prototype, realize multi-disciplinary simulation, and reduce physical test through simulation; they need to implement the idea of standardization, serialization and modularization to support mass customization or product personalized customization; they need to integrate simulation technology into product developmentIn order to improve the confidence of simulation results, real time simulation technology is combined with test management.Process manufacturing enterprises have begun to use PLM system to realize process management and recipe management, LIMS (laboratory information management system) system is more extensive.
8 intelligent management
The core operation management system of manufacturing enterprises also includes human asset management system (HCM), customer relationship management system (CRM), enterprise asset management system (EAM), energy management system (EMS), supplier relationship management system (SRM), enterprise portal (EP), business process management system (BPM), etc. domestic enterprises also take office automation (OA) as a core systemInformation system.In order to manage the core master data of enterprises uniformly, master data management (MDM) has been deployed in large enterprises in recent years.To realize intelligent management and decision-making, the most important condition is the accurate basic data and seamless integration of main information systems.
9 intelligent logistics and supply chain
The purchase, production and sales processes of manufacturing enterprises are accompanied by the flow of materials. Therefore, more and more manufacturing enterprises attach importance to production automation and logistics automation. Automated three-dimensional warehouse, unmanned guided vehicle (AGV) and intelligent hanging system have been widely used. In the logistics center of manufacturing enterprises and logistics enterprises, intelligent distribution system is widely usedThe application of picking system, stacking robot and automatic roller system is becoming more and more popular.WMS (warehouse management system) and TMS (transport management system) are also widely concerned by manufacturing enterprises and logistics enterprises.
10 intelligent decision making
In the process of operation, enterprises produce a lot of data.On the one hand, it is the core business data generated from various business departments and business systems, such as contract, payment collection, expense, inventory, cash, product, customer, investment, equipment, output, delivery date, etc. These data are generally structured data, which can be used for multi-dimensional analysis and prediction. This is bi (business information system)Intelligence (Business Intelligence) technology is also called management cockpit or decision support system.At the same time, the enterprise can use these data to extract the KPI of the enterprise, and compare with the preset goal. At the same time, decompose the KPI layer by layer to assess the cadres and employees. This is the scope of EPM (Enterprise Performance Management).From a technical point of view, memory computing is an important support for bi.
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