Industrial robot needs to upgrade from “machine substitutions” to “Intelligent Manufacturing”

With the rapid economic growth in recent years, the domestic decline in the number of working-age population, labor supply turning point has occurred, the gradual disappearance of the demographic dividend. According to the National Bureau of Statistics, China 15-64 the proportion of working age population decline since the beginning of 2011, the absolute number of population aged 15-64 also declined since 2014 to enter the stage, the population aged 15-64 in 2018 compared to 2013, the cumulative reduction of peak about 12 million people. This trend reflects the demographic transition is a shortage of labor, business recruitment difficulties, recruitment and so expensive in the labor market.
rising labor costs gave birth to the “machine Substitution ‘needs with the gradual reduction of the working-age population, the domestic manufacturing industry (large-scale units) average wage of workers is rising, the National Bureau of Statistics data show that in 2018 China’s domestic manufacturing industry (large-scale units) employed the average annual wage of 65,000 yuan, 2013 ~ 2018 CAGR of 8.5%, labor costs in manufacturing companies to quickly ramp-up phase. Rising labor costs directly affect the healthy development of manufacturing enterprises and profit levels, low degree of automation of labor-intensive manufacturing enterprises increasing labor costs, automated equipment instead of doing so needs urgent Control Engineering Copyright in this context, China’s industrial robot market has entered a rapid rise. Economic trends on the other hand, since 2012 the world’s industrial robots showing an overall average price of flat to down Control Engineering Copyright , rising labor costs superimposed robot costs down, “machine substitutions” are also increasingly prominent.
In the long run, China’s aging population, reducing the number of working-age population and other issues is still grim demographic changes or will become long-term drivers of intelligent manufacturing upgrade of China. According to the UN Population Division expects 2020 ~ absolute number and proportion of population aged 15-64 in 2050 China’s working age population will still continue to decline, the aging of the population aged 65 and over accounted for and will continue to rise. With the transformation of the concept of consciousness and increasingly prominent younger generation social problem of aging population, the market gradually rising labor costs will become a major trend or unavoidable, the use of cheap labor competition in manufacturing mode must be changed. In this context, we believe 2020 ~ 2050 to replace the manual machine or higher will be the certainty of long-term trends, domestic demand for automation, intelligent devices is expected to holdContinued improvement.
along with technological developments, the impact of industrial robots in the manufacturing sector by the “machine substitutions” to “Intelligent Manufacturing” “machine substitution” process of industrial robots positive impact on the company’s significant. Throughout the process of industrialization in developed countries, automation equipment as a key means of improving production efficiency, and its industrial manufacturing technology, play a crucial role in the process of revolutionary change the traditional mode of production and equipment manufacturing. Compared with manual, automated manufacturing equipment with high efficiency, high precision manufacturing, along with rising labor cost, intelligent manufacturing equipment to help enterprises optimize production, improve product quality, while helping enterprises to reduce operating costs and enhance profits. We believe that the future of industrial robots will no longer exist in isolation, the direction of the trend is the development of intelligent manufacturing equipment automation, standardization, integration and information technology, relying on industrial robots and other equipment to form the core of a complete intelligent plant will include: intelligent storage systems, intelligent transport systems, intelligent machinery and equipment, IntelliSense networks and information integration platform. There are three major changes: 1) Technical Field of the intelligent manufacturing escalating iteration Copyright Control Engineering , intelligent manufacturing technology direction by applying a sensor, machine vision system, forming a large collection of data reaction and predict the future, to form an effective closed-loop three aspects of the product development and manufacturing, product design and manufacturing, product quality and management systems. 2) China’s Internet development level of the leading global, a large number of end-consumer demand has been or will be Internet-based, this trend will reverse push enterprises to accelerate the transformation of the Internet and intelligent transformation of the manufacturing side of the Internet in recent years, also intelligent manufacturing technology industry improved important direction. 3) On this basis, the industry’s leading companies are using a range of advanced digital production technology as well as the entire supply chain, building digital factory, intelligent factory. These include big data analytics solutions, end-to-end real-time planning and Internet, automatic control system, such as digital twin. With these technologies, the efficiency can be improved, companies can mass production of highly customized products. On the basis of the “machine substitutions” on the rapid advances in technology are opening new demand “intelligent manufacturing” all walks of life. Plant can be solved intelligent factories, plants and production lines and product design to achieve the conversion process of manufacturing, the design effectively reduces the uncertainty between manufacturing, mentionHigh product yields and reliability, shorten the production cycle, to achieve maximum benefit. In intelligent plant, the machine will be self-organized community, will automatically be coordinated supply chain, unprocessed product machine will send the required data to complete its processing, then it becomes the latter product, product development and manufacturing, product design and manufacture, the quality management system and form an effective three closed loop , each group of machines working directly under the unified scheduling information system, the production efficiency will be further improved. In future competition, the industry’s leading provider of automation equipment will be digital, expanding field of information technology, providing intelligent overall factory planning solutions to our customers. Intelligent Manufacturing manufacturing enterprises to upgrade a typical case: Foxconn Shenzhen, “lights-out factory.” According to industry Farrington 2018 Annual Report, the lights in the Foxconn factory, a need to bridge devices and equipment, equipment and people, people connected, Foxconn industrial cloud platform (FiiCloud) assume a bridge. It is connected to the edge of the mass calculation device and Cloud, it has been applied to the surface-mount, NC, robots, assembly and testing, environmental data acquisition scenario, the goal is the industry-wide data acquisition. While using the robot sensor modes Control Engineering Copyright , developed a robot AI self-perception, self-diagnosis, self-healing, self-optimizing adaptive capabilities to improve product yield and reduce the cost of waste. Foxconn acquisition layer extends to the field of network cloud, platform layer, application layer, data security and data on the core. Shenzhen “lights-out factory” for example, the transformation of production lines by reducing staff from 318 to 38 staff, production efficiency by 30%, 15% reduction in the inventory cycle.


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