Recently, the Tianjin Bureau of Industry and Information Technology released 50 demand scenarios for "artificial intelligence+manufacturing", with multiple benchmark enterprises sharing application cases and a batch of intelligent upgrade cooperation agreements signed. At present, Tianjin has issued reference guidelines for intelligent upgrading around 12 key industrial chains, launched a free evaluation and diagnosis platform, and aims to achieve comprehensive transformation of on chain enterprises by 2027. Using the industrial chain as a lever for precise policy implementation and systematic efforts is becoming an important choice for local promotion of intelligent manufacturing.
For some time now, around the intelligent transformation of the manufacturing industry, various regions have frequently played a combination of policy punches, from subsidized loans to transformation subsidies, from technical diagnosis to platform support, with both real financial support and multi-dimensional innovative services. But the policy of "supporting the horse" ultimately depends on enterprises to "run" themselves. It is necessary to fully stimulate the internal driving force of enterprises in order to truly accelerate the development of intelligent manufacturing.
In recent years, artificial intelligence, big data, industrial Internet and other technologies have developed rapidly, but some enterprises still feel "confused" about intelligence. Manufacturing is a systematic engineering, and the transformation towards intelligent manufacturing cannot be a fragmented transformation. This process will inevitably put forward higher requirements for enterprises and various links in the industrial chain. From the perspective of the industrial chain, intelligent manufacturing enhances efficiency and reduces operating costs through digitization, which helps to strengthen the resilience of the industrial chain. Through smart supply chains, "chain owners" not only release orders, but also exert pressure and drive on companies on the chain to upgrade. In this way, "chain transformation" will become a lever.
This year's Government Work Report proposes to expand intelligent manufacturing and build a new batch of smart factories and smart supply chains. This is both a direction and a requirement, which not only requires enterprises to enhance their own awareness of transformation, but also requires collaborative efforts at the industry chain level.
Promoting enterprise transformation requires precise empowerment. To solve the problem of some enterprises' inability or unwillingness to transform, we need to enable them to reach the threshold of transformation and see the rewards of transformation. To speak with the actual results of benchmark factories, concretize the transformation dividends, and make enterprises truly feel that transformation not only improves efficiency, but also benefits long-term development; At the same time, it is necessary to closely follow the actual needs of the industrial chain and provide feasible solutions covering the entire production process. Conducting technology exhibitions and case sharing should highlight the effectiveness of holistic and systematic transformation, extract replicable experiences, and apply them based on the actual situation of the enterprise.
Industrial chain collaboration needs to move from "single point intelligence" to "full chain linkage". Enterprises do not exist in isolation. They have already been embedded in the industrial and supply chains, and the intelligence of each acting independently may be difficult to fully play its role. It is necessary to coordinate the entire chain, sort out common needs, break through upstream and downstream bottlenecks, and achieve overall growth. At present, many places are led by "chain owner" enterprises, releasing demands, opening up scenarios, and building smart factories to drive the coordinated development of the entire chain. A series of explorations have achieved initial results, but still need to be adhered to and further promoted.
Intelligent evaluation should provide a "pulse diagnosis" for enterprises. Many places have set up free online platforms to provide evaluation services to enterprises, with the aim of helping them analyze needs, identify gaps, pinpoint problems, and grasp directions. Therefore, the depth and accuracy of the evaluation are particularly crucial, and attention should be paid to achieving full coverage of on chain enterprises, proposing truly targeted and actionable improvement suggestions, and achieving targeted treatment through careful "pulse diagnosis".
Intelligent manufacturing will not be achieved overnight, it requires finding the right path and continuous effort. Only by inspiring micro entities with "one enterprise, one policy" and leveraging system upgrades with "chain collaboration" can we win the initiative and achieve steady progress in the new round of industrial transformation. (Source: Economic Daily, Author: Shang Rui)
(Editor in charge: Nian Wei)
