Intelligent Manufacturing has become an important trend in the global manufacturing industry. With the gradual disappearance of the demographic dividend, factories and enterprises need to find a new mode of production, in order to alleviate the expensive labor costs and respond quickly updated product demand. The emergence of Industry 4.0 mode Control Engineering Copyright , provides new ideas for manufacturing. Things connected through all phases of the product life cycle of procurement to production to delivery, and from raw materials into the client’s home, the whole process can be visualized management. This is also the scene of the fourth industrial revolution, things to build a bridge for the entire manufacturing process, creating a cohesive manufacturing environment. Raw material suppliers know when shipped, manufacturers know how to ensure the quality of products, information for each customer feedback enable manufacturers to gain insight on new products and markets, things to solve the suppliers of information between manufacturers and customers cut off the problem, intelligent manufacturing plant will service capabilities to a whole new level. Future, things will bring tremendous value to the manufacturing sector, the potential value could reach tens of trillions of dollars. It is estimated that a rate of 6% per year over the next five years, the market in 2020 will be close to $ 70 billion. Huge application scenarios including automotive and transportation, mining, electronics, chemicals, pharmaceuticals, oil and gas industries. So, what will change in the new manufacturing scene, factories and enterprises, how will welcome trend? Changes in demand manufacturing supply chain transformation of the consumer market so fast that the traditional manufacturing industry is undoubtedly a major problem. Real-time customer expectations continue to rise, more and more complex supply chain, through human analysis or backward management tools to control the manufacturing process, it has been difficult to meet the current market demand. And a lot of intelligent plant networking real-time data collected by sensors and smart objects, and then a cloud-based analysis of high power server count, as well as creating a more flexible production processes to keep pace with customer demand.
intelligent manufacturing model and traditional manufacturing is completely different, relying on the advanced digital manufacturing technology, the plant can be produced on demand, procurement of raw materials from suppliers around the world to avoid the risk of large inventories, and through social media management Feedback , manufacture personalized achieve faster, more flexible, more efficient product delivery level. Thanks to the development of the Internet of Things and digital technology Control Engineering Copyright , intelligent manufacturing factory brings new capabilities, though not intelligent plant upgradeIt is necessary, but it is a very valuable thing. The use of optimized supply chain, not only can reduce lead times and costs, while based on market information, but also can reduce the number of production process defective products. Product quality and manufacturing consistency past, when factories receive workshop information or data from customer surveys, product has entered the customer base, that is, the damage has been produced, giving the user an impression of low quality. The new manufacturing model CONTROL ENGINEERING China Copyright , to make changes before by means of networking technology that allows factories and enterprises to gather real-time transmission of data, timely insight into the problem, and cause serious problems in the product.
future products will be placed smart sensors Control Engineering Copyright , these parts will be able to ensure the quality of the perceived level of consistency of each product, whether it is consumer electronics, home appliances or industrial devices, sensors abnormal data can be reported to the manufacturer of the product, and then the plant to provide more timely service. Also, the lack of product factories can be analyzed from the data, to optimize the lower one product, can better ensure the quality of the final product. This approach avoids customer complaints and brand damage, and may save huge costs for the company. In the past, automotive products after major problems Control Engineering Copyright , a large recall of a common occurrence, not only led to decline in the company’s brand influence, but also the negative heavy price in money. Things benefits of connecting the manufacturing process is that once the problems or defects found, can repair itself in time for the errors have serious consequences. Especially in today’s breakthrough in artificial intelligence, we can quickly analyze risks exist in near real time speed to complete the production quality control, and bring better products and fewer losses. Predictive maintenance of factory production line of great value event of unplanned downtime and unplanned maintenance will bring huge losses to the enterprise, each piece of equipment and machines are impossible to maintain without problems, but unplanned downtime, not only for the company suffered production losses of combat, but also drag down productivity. The cost of more expensive today, this unexpected shutdown may take a long time to inspection, maintenance, and to pay large sums of money, but also for small and medium enterprises can not afford. In the industrial model 4.0, thereA method for predictive maintenance, by placing various sensors in the smart device production factory, it is possible to real-time automatic monitoring of machine wear. To borrow a machine learning algorithm that can accurately track time replacement parts and machinery.
Predictive maintenance helps arrange replacement of equipment parts and reasonable replacement time can be arranged, for example, in the idle period of the machine, will not take up production time before the error occurred. This will not only ensure the efficiency of the production line, while improving overall agility of factories. How to build intelligent plant? Smart factory is the inevitable trend of the future development of the manufacturing industry, there are already some excellent cases, such as the world’s largest manufacturers, including General Electric, Siemens, Honeywell, Mitsubishi Electric, Rockwell Automation, Schneider Electric, General Dynamics We are trying a new manufacturing model. However, smart upgrade the factory to its own needs and environmental characteristics, different companies should adopt a different way, so as to achieve the effect they want. Corporate restructuring usually has several goals direction, such as slow to resolve labor costs and reduce the overall cost of the plant; enhance the efficiency of the production line will shorten product delivery time; increase the flexibility of the plant, in order to be able to respond quickly to market demand and so on. Enterprises according to their own needs, manufacturing complete upgrade program. To construct the first things sensors, motors, switches, and various other gadgets networking, 4.0 times industrial intelligent factory production line includes, robots, networking, remote automation content. In addition, the network also relates to the production and custom manufacturing systems, product planning and production of virtual and remote maintenance. Also, the need for new intelligent factory workers, the introduction of IT professionals have the knowledge and technology to run the OT. Factory repetitive work tasks will be handed over to robots, and people will pay more attention to product design, as well as aspects of process optimization and monitoring.