How should factories and enterprises cope with the

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How should factories and enterprises cope with the general trend of intelligent manufacturing

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 production mode to alleviate the expensive labor costs and respond to the demand for rapidly updated products. The emergence of industry 4.0 mode provides a new idea for the manufacturing industry. Connect all stages of the product life cycle through IOT, and the whole process can be visually managed from raw material procurement to production, to delivery and entering the customer's home

this is also the scene of the fourth industrial revolution. IOT has built a bridge for the whole manufacturing process and created a cohesive manufacturing environment. Raw material suppliers know when to deliver, manufacturers know how to ensure product quality, and the information fed back by each customer allows manufacturers to gain a new understanding of products and the market. IOT solves the problem of information isolation between suppliers, manufacturers and customers, and smart factories improve the service capacity of the manufacturing industry to a new level

in the future, IOT will bring great value to the manufacturing industry, with potential value of billions of dollars. It is estimated that the market will grow at an annual rate of 6% in the next five years, and the market will be close to $70billion by 2020. Huge application scenarios include automotive and transportation, mining, electronics, chemical, pharmaceutical, oil and natural gas industries. So, how will the new manufacturing scenario change and how will factories and enterprises meet the trend

the change of manufacturing supply chain

the demand of the consumer market changes so fast, which is undoubtedly a big problem for the traditional manufacturing industry. Customers' real-time expectations are rising, and the supply chain is becoming more and more complex. It is difficult to meet the current market demand to manage and control the manufacturing process through human analysis or backward tools. The smart factory collects a large amount of real-time data through intelligent sensors and IOT, and then creates a more flexible production process based on the analysis of cloud high-power servers to keep up with the pace of customer needs

the mode of intelligent manufacturing is completely different from traditional manufacturing. Relying on advanced digital manufacturing technology, factories can produce on demand, purchase raw materials from suppliers all over the world, avoid the risk of a large amount of inventory, and manage customer feedback through social media to achieve personalized manufacturing and achieve faster, more flexible and more efficient product delivery

thanks to the development of IOT and digital technology, intelligent manufacturing has brought new capabilities to factories. Although upgrading intelligent factories is not necessary, it is very valuable. Using the optimized supply chain can not only reduce the delivery time and cost, but also reduce the number of defective products in the production process based on the mastery of market information

consistency of product quality

in the past manufacturing industry, when the factory received workshop information or data from customers, the products had entered the testing machine. Why would it damage the customer group? That is, the damage had already occurred, leaving the impression of low quality to users. The new manufacturing mode, with the help of IOT technology, allows factories and enterprises to collect transmission data in real time, so that they can have a timely insight into the problem and make changes before the product causes serious problems

future products will be equipped with intelligent sensors. These sensing parts will be able to ensure the consistent quality level of each product. Whether it is consumer electronics, household appliances or industrial equipment, the sensors can report the abnormal data of the product to the manufacturer, and then the factory will provide more timely after-sales service. In addition, the factory can analyze the shortcomings of products from the data and optimize the next product, which can ultimately ensure the quality of products

this method avoids customer complaints and damage to the company's brand, and may save huge costs for the company. In the past, after major problems of automotive products occurred, a large number of recalls were common, which not only led to the decline of the company's brand influence, but also paid a heavy price

the advantage of IOT connection manufacturing process is that once a problem or defect is found, it can repair itself in time before the error has serious consequences. Especially today, with the breakthrough of artificial intelligence, we can quickly analyze the existing hidden dangers, complete the control of production quality in near real time, and bring better products and less losses

the important value of predictive maintenance

unexpected downtime of the factory production line and unplanned maintenance will bring huge losses to the enterprise. Every piece of equipment and machine cannot be kept out of trouble, but downtime occurs outside the plan, which not only makes the company suffer from production losses, but also slows down production efficiency. In today's increasingly expensive cost, such unexpected downtime may take a long time to check and repair, and pay a huge amount of money, which is even more unbearable for small and medium-sized enterprises

in the mode of industry 4.0, there is a predictive maintenance method, which can automatically monitor the wear of machines in real time by placing various sensors on the production equipment in the intelligent factory. The machine learning algorithm can accurately track the replacement time of parts and machines

predictive maintenance helps to arrange the replacement of equipment parts before errors occur, and can arrange a reasonable replacement time. For example, during the period when the machine is idle, it will not occupy production time. This can not only ensure the efficiency of the production line, but also improve the overall agility of the factory

how to build a smart factory

smart factory is an inevitable trend for the future manufacturing industry to be widely used in the automotive, packaging, textile and other industries. At present, there have been some excellent cases, such as global large manufacturers including general electric, Siemens, Honeywell, Mitsubishi Electric, Rockwell Automation, Schneider Electric, general dynamics, etc. are trying new manufacturing models. However, upgrading smart factories should be combined with their own needs and environmental characteristics. Different enterprises should adopt different ways in order to achieve the desired effect

generally, there are several target directions for enterprise transformation, such as slowing down labor costs and reducing material technology, which can be said to be everywhere and reduce the overall cost of factories; Improve the efficiency of the production line and shorten the delivery time of products; increase "The development of PU materials is to create the flexibility of factories with a wide range of properties, so that they can quickly respond to the needs of the market, etc. enterprises can make perfect upgrading schemes according to their own needs.

first of all, we need to build IOT to connect sensors, motors, switches and other small tools. Intelligent factories in the industrial 4.0 era include production lines, robots, IOT, remote automation, etc. in addition, it also involves production Network and customized production system, virtual planning of products, production and remote maintenance, etc

in addition, smart factories need new workers and introduce professionals with it knowledge and ot operation technology. Repetitive tasks in factories will be handed over to robots, and people will pay more attention to product design, process optimization and monitoring

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