It is understood that Sugu Technology will be operational optimization and machine learning, reinforcement learning and other cutting-edge artificial intelligence technology deep integration, with the self-developed domestic solver Cardinal Optimizer (COPT) as the core computing engine, launched for the industry “engine + decision center + scene” of a new generation of intelligent decision technology platform, It is committed to solving large-scale complex decision-making problems in enterprise production, supply, logistics and other business scenarios, and can help industrial enterprises to optimize resource allocation, cost control, capacity planning and other aspects of decision-making in the case of global coordination, and comprehensively improve the management flexibility of production operations.

Ge Dongdong introduced that nearly 80% of the problems faced by the current business application of enterprises need to use mixed integer programming (MIP) solving module to solve. With the domestic solver achieving a breakthrough from zero to one, the core engine technology continues to make progress, and the degree of localization is accelerating. Mixed integer programming (MIP) solution module is difficult to develop, and COPT has stabilized in the world’s top two levels. At the same time, the algorithms and model components of Sugigu intelligent decision technology platform are derived from a wide range of business scenarios, with strong applicability and scalability, including production, process, personnel, equipment, materials, capacity, environment and other components, which can be flexibly configured to help enterprises quickly build intelligent decision systems.

Nowadays, mathematical professional software has been widely and deeply applied in the field of manufacturing. For example, when flying, space vehicles make up to dozens of attitude adjustments per second, and mathematical software makes calculations in just a few tenths of a second. In a robot-led smart factory, hundreds of robots “run around” in an orderly and efficient manner under the instruction allocation of mathematical decisions.

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In the era of digital economy, information security and data sovereignty have become important aspects of national security, and the importance of accelerating the localization of software substitution is self-evident. The “14th Five-Year Plan” for the Development of software and information technology Service industry mentioned that it is necessary to make up for the weaknesses of the domestic industrial chain and form software products in emerging fields with ecological influence, of which industrial software will be the key reinforcement link.

“In the context of the complicated world situation, domestic industrial software on the one hand can ensure its own software security capabilities, on the other hand can effectively protect data security, and independently control vital industries such as important areas related to the national economy and people’s livelihood.” Ge Dongdong said that the domestic mathematical industrial software can not only provide security, but also provide customized services for complex enterprise scenarios, carry out deep transformation of standard software, recompile the solver according to different versions of hardware, do embedded system transformation, and provide more convenient and timely support services.

“COPT solvers provide the most direct support for the digitization, refinement and optimal management of enterprise operations. Without mathematical industrial software, high-quality development of industries related to national economy and people’s livelihood, such as transportation and energy, will face a major test of operational management flexibility.” Ge Dongdong said that the large-scale application of the solver decision optimization model can fully activate the value of data, optimize the allocation of factors, effectively reduce the waste of energy and resources, and help the high-quality development of the industry.