High-quality development is the primary task for comprehensively building a modern socialist country. The manufacturing industry is the main body of the national economy, and promoting the transformation and upgrading of the manufacturing industry to high-end and building a manufacturing power is an important embodiment of high-quality development. Industrial software is known as the brain and nerve of industrial manufacturing, with the global “traditional manufacturing” to accelerate the transformation and upgrading of “intelligent manufacturing”, industrial software is becoming the core basic tool of intelligent manufacturing.

“Industrial software often plays the role of core technology and core systems in modern manufacturing and industrial intelligence more generally.” Ge Dongdong, co-founder and chief scientific officer of Sugu Technology, said in a visit to the People’s Meeting Room that high-end manufacturing and design software has been the focus of domestic technology research, and mathematical industry software provides underlying support for these software.

Scheduling and production scheduling in mass production and manufacturing systems; Transportation and crew scheduling, route planning; Production and marketing coordination of supply chain and industrial chain… “These industrial systems in modern industrial production, such as scheduling, optimization, and simulation, often require a variety of models and algorithms for underlying support.” Ge Dongdong introduced that the underlying algorithm of the software involves the solution and optimization of large-scale linear and nonlinear complex systems, which is inseparable from the efficient cooperation of mathematical professional software.

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At present, China’s industry is in a critical period of economic transformation from old to new driving forces and structural transformation and upgrading. With the profound evolution of new technologies such as big data, cloud computing and artificial intelligence, the basic industrial industries such as oil and electricity are facing great challenges of upgrading the industrial energy level. As the system of operation and management is getting larger and larger, the requirements for the fineness and efficiency of management are rising, which requires the transformation to intelligence.

Ge Dongdong believes that in the process of turning to intelligence, China’s basic industrial industries mainly face the following three challenges: the complexity of the operation system has increased significantly. The globalization of the industrial chain and the expansion of production scale have magnified the difficulty of collaboration, and the industrial progress has greatly deepened the degree of cross and integration of various links. Higher response sensitivity is required. In the production and operation of modern industry, in order to achieve the best benefits, the responsiveness of production and decision-making needs to be improved; High technical barriers. Basic industry has the characteristics of technology intensive and capital intensive, technical barriers and research and development costs are high, and China’s technology accumulation and talent reserve in this area are insufficient.

Accelerating the transformation of industrial structure and fully releasing the economic value of intelligent manufacturing has practical significance to help the high-quality development of our country. The complex intelligent transformation problems are transformed into mathematical problems for solving and optimizing, and the “decision-making brain” is installed for industrial manufacturing enterprises, which has become an important starting point for the current industry to help the manufacturing industry reduce costs and increase efficiency, stimulate business growth, and achieve intelligent transformation.