The difficulty of 30% of enterprises' intelligence lies in talents

"We can't use the past to predict the future, because the market is changing and the pace is getting faster." The publisher of "CEConline" Pei Kewei at the recent "Wisdom · Wins the Future Export Forum" , released the latest "Report on the Status of Intelligent Manufacturing of Chinese Manufacturing Enterprises".

The global economy has maintained a low growth rate since the financial crisis, with fierce international competition in all aspects and new changes in the international industrial division of labor. Developed countries pay more attention to the real economy, and developing countries are striving to upgrade to the middle and high links of the industrial chain. The competition in China's foreign trade in terms of market, talent, technology, brand, and service has become increasingly extensive, complex and fierce, and it has become normal to maintain a growth rate slightly higher than or equal to that of GDP.

Intelligent manufacturing is a combination of manufacturing technology and information technology, involving many industries. 95% of the respondents are middle-level or above managers, and 35% of the respondents have more than 500 employees.

The survey found that nearly 30% of the interviewed companies believe that the biggest problem in using smart equipment to produce is talent.

The trend of small order customization

Since this year, the uncertainty of the export market has intensified, and the personalized consumption trend of consumers has become more and more obvious. Buyers need to meet this trend, Launching unique, personalized products to stay profitable, so they want to build deeper relationships with suppliers.

Consumer lifestyles have undergone great changes. The emergence of online consumption and fast fashion has impacted traditional marketing methods. Buyers must change with the times, strengthen online marketing, and speed up product upgrading. In addition, buyers face the pressure of cash flow, product inventory, etc. while facing fierce peer competition.

With reference to the survey data of the "Excellent and Strong Made in China" enterprise readiness index conducted by the world's leading logistics and supply chain expert UPS, it is precisely based on the above market pressure that buyers first consider suppliers when choosing Whether it is really clear about the needs of buyers can help buyers improve their profit points; the second is to be able to provide higher-quality goods; the third is to consider fast delivery or a more efficient supply chain.

In response to changes in buyers' needs, suppliers take corresponding countermeasures, and cooperative research and development of an innovative product has become an indispensable ability. Regardless of internal or external factors, innovation and improving logistics capabilities have become key words. In addition, these two surveys are consistent with the survey results conducted by "CEConline". Cost and quality are also the management focus of suppliers, and the customization of small orders also forces manufacturers to transform to flexible management and intelligent production.

What does smart manufacturing bring?

On March 18, the Ministry of Industry and Information Technology issued the "Notice on Launching the 2015 Intelligent Manufacturing Pilot Demonstration Special Action" and the "2015 Intelligent Manufacturing Pilot Demonstration Special Action Implementation Plan", officially launching the intelligent manufacturing pilot, and classifying the Carry out six key actions, including process manufacturing, discrete manufacturing, intelligent equipment and products, new business forms and new models of intelligent manufacturing, intelligent management, and intelligent services.

Unlike the industry 3.0 assembly line, which can only be mass-produced, the "Industry 4.0" assembly line is implemented in radio frequency technology, industrial Ethernet, online barcode, QR code comparison, image recognition, robot applications, etc. In order to achieve a breakthrough, small batches and multi-batch production can be realized, and the minimum batch can reach one piece. Due to the direct connection of people, equipment and products in real time, the factory accepts orders from consumers and directly prepares materials for production, eliminating the need for sales and distribution links. In the future, it will be possible for consumers to order personalized products through the C2B model.

In the survey, 87% of enterprises admit that their production lines are facing the pressure of rising labor costs. The application of industrial robots to transform production lines has become the primary response plan for enterprises to cope with rising labor costs, followed by the hope to increase added value by strengthening research and development. 85% of them believe that it is possible to introduce smart manufacturing equipment within the next year.

Among enterprises that are preparing to introduce intelligent manufacturing equipment, 37% will use robots for production, 23% will invest in digital monitoring and control systems, and 10% want to introduce digital intelligent machine tools. 9% will use 3D printing technology. And they are willing to invest boldly. We found that 51% of the respondents will spend at least 10% or more of their overall investment on so-called smart manufacturing.

In addition, there are more extremes, such as almost a quarter of the surveyed companies will spend more than 20% of their overall investment on this. They hope to reduce costs, improve efficiency, improve production processes, improve quality, and promote technological innovation and upgrading through the use of smart devices.

What's the problem?

Since intelligent manufacturing can enable enterprises to achieve small batches and multiple varieties of products, shorten production cycles, reduce prices, optimize resources, improve energy efficiency, and return on investment, why does 90% of domestic Are SMEs still less intelligent? In addition to the cost of intelligent upgrades, what other concerns do enterprises have?

According to the survey data, nearly 30% of the enterprises surveyed are worried that the existing basic measures or talents cannot be matched and adapted to these new production processes; because the machines are not only replacing simple workers who sell their physical strength, enterprises What is needed are skilled workers, especially workers who can independently operate various intelligent robots and senior technicians who repair machines.

The role of people in the intelligent manufacturing process will be changed from service providers and operators to planners, coordinators, evaluators, and decision makers. Not only professional and technical personnel are required to undertake the design, installation, and modification of intelligent equipment. . Installation and maintenance work, but also need to maintain related information physical systems, new network components.

In addition, intelligent production also needs to continuously optimize the production equipment mode, framework structure, and regulations, and the corresponding management level requirements are much higher than before.

As the roles and roles of people in manufacturing change, intelligent manufacturing requires higher and higher professional level of employees; more emphasis is placed on technical expertise, the number of skilled jobs is gradually reduced, and the number of active positions is increasing. more. In order to better introduce intelligent equipment to improve production efficiency, enterprises need to reserve and cultivate more highly skilled and management talents in data science, software development, hardware engineering, testing, operations and marketing.

In short, at the critical stage of the transformation and upgrading of traditional manufacturing industries, more and more enterprises are faced with the embarrassing situation of "easy access to equipment and hard to find talents". The preparedness of China's export manufacturing industry to meet future challenges needs to be improved. Manufacturing enterprises can only take the express train of intelligent manufacturing and better participate in international competition if they keep innovating with both capital and talent.