Industry 3.5 tells you that the more talented people are, the more they can cooperate with intelligent machinery and the more valuable they are.

Zhang Zhongmou, former chairman of TSMC, delivered an opening speech at the Taiji Hall of the National Tsinghua University Institute of Science and Technology Management. He pointed out that after more than 20 years' experience in running enterprises in Taiwan Province Province, what Taiwan Province Province needs most is management skills and talents that conform to the culture and uniqueness of enterprises in Taiwan Province Province, and such skills and talents cannot be sought from outside.

He said: "Science and engineering talents can seek advice from top universities at home and abroad, and the skills they have learned are equally applicable in Taiwan Province Province; However, foreign management talents may not be suitable in Taiwan Province Province, so it is necessary to develop first-class management research and management technology in Taiwan Province Province. 」

As a mixed strategy of Industry 3.0 and Industry 4.0, Industry 4.0 is compared with movies: Industry 4.0 is like artificial intelligence and robots in the movie "Public Enemy of Machinery"; Industry 3.5 is like an Iron Man with intelligent machinery.

Robots have replaced human work. Industry 3.5 advocates the development of Iron Man and strengthens people's decision-making ability. Combined with various decision analysis methods, it can be effectively used in enterprise strategy, capacity investment, site selection, equipment evaluation and so on. Mechanical operation or dangerous processing operation is assisted by automation system.

To solve the pain points of enterprises, it is necessary to strengthen the decision-making ability in the face of aging population, decreasing labor force and rising labor consciousness. However, the change of market demand is accelerated and the product life cycle is shortened. In R&D decision-making, planning and production scheduling, how can we respond to market demand instantly, flexibly and flexibly? Even the equipment can be predictably maintained, so as to avoid the production stoppage without warning caused by equipment failure?

It is best to predict the demand and plan the next resource allocation decision of the enterprise accordingly, so as to increase the income and financial return. These problems have become the pain points of every enterprise. The first problem often encountered in the transformation from traditional industries to intelligent manufacturing is how to systematize and digitize the existing manufacturing and management experience. How does an old master from a black hand cooperate with the company's information engineer or external consultant to help extract his knowledge? And not only know why, but also know why.

In other words, in fact, what most manufacturers lack is not advanced hardware and software equipment, but a management mode and organization operation that can enable the system to exert its intelligent manufacturing and flexible decision-making ability.

Comparing interests, man-machine division of labor and cooperation have to learn from each other's strengths. The three industrial revolutions in human history all have their own driving technologies. Only the fourth industrial revolution, the key is not only software and hardware technology, but also people. In fact, all factories can save manpower and improve efficiency through intelligent systems. For enterprises, it is the principle of "comparative advantage", which does not need to be unmanned or use manpower.

Taiwanese businessmen and factories can occupy a very important position in the global supply chain. One of the advantages is that Taiwan Province Province has strong flexible manufacturing and supply chain management capabilities. These core abilities to cope with the dynamic adjustment of industrial changes and the operation of resources are due to the early popularization of higher education and technical and vocational education in Taiwan Province Province and the orientation of international division of labor, which provide the cluster effect of talents doing middle school. When factories become intelligent, they should be integrated into the system and become a part of made in taiwan's soft power.

The industry needs more and more job opportunities for leading talents who understand technology and management. These talents have disappeared because of automation and intelligence. It is more difficult for vulnerable groups to find jobs, which aggravates the gap between the rich and the poor and social unrest. Young people also lost the opportunity to experience gradually, which increased the difficulty of the baton. Artificial intelligence, big data and Industry 4.0 are subverting all walks of life. Should the education system and talent training mode be reversed?

There are many people who know information and communication technology in Taiwan Province Province, and there are also many people who know machinery. Many bosses can also use vocabulary related to new technology fluently. However, intelligent manufacturing also needs interdisciplinary generalists who understand hardware technology and analysis tools, and needs more big data analysis and artificial intelligence experts who can be applied to different industrial fields.

Technology is not the key, education is the wisdom of the factory, and human analysis, judgment and decision-making will be more important. Of the eight tasks in the German Industry 4.0 strategy, only three are about technology, and the other five are about educational reform. If education can't keep up and there is no talent, everything will be in vain. Relevant ministries and commissions should optimize human capital and manage national human resources.

Based on the principle, we should develop an integrated framework similar to PDCCCR, plan interlocking decisions, and work closely with schools and business circles to explore which functions must be cross-disciplinary or even cross-sectoral, and then distinguish which functions should be supported by internal training of enterprises; What cross-disciplinary skills should be quickly introduced into the school education system to lay the foundation for a long time?

In the past, the talents trained by Taiwanese education system were the driving force for the rapid development of manufacturing industry in Taiwan Province Province. Facing this fierce Industrial 4.0 Revolution, the industrial transformation and upgrading of Taiwan Province Province is even more urgent. At present, under the existing resources, how to carry out a small revolution within the system and narrow the gap between industry and learning is actually something that a single enterprise and a single scholar can do by themselves. How?

What kind of talents do enterprises need for digital transformation? The changes and impacts that Industry 4.0 is about to bring are not limited to manufacturing, and no industry is spared. The whole industrial ecosystem and business model have to undergo a major operation from operation decision-making, organizational structure, talents, design, production to service.

If intelligent manufacturing uses unmanned factories or "light-off rate" as indicators, it seems to simplify the concept too much. In fact, the real judgment basis is to establish an intelligent manufacturing system of digital brain. In other words, whether you are wise depends on whether you can make a "decision".