On March 5, 2021, as the first brand of mathematical planning solver in China, Sansu Technology for the whole society officially released the COPT 2021 Optimization solver Analysis Report, based on two years of data accumulation, collated and analyzed the 500+ free authorization and commercial authorization customer statistics, hoping to depict the current Chinese intelligent decision optimization application user portrait, In-depth interpretation of the current situation of domestic operational research optimization and solver application, in order to provide some ideas and inspiration for the leadership seeking on the road of intelligent transformation:
First, free to the community, domestic self-developed solver COPT service global users
Since its release in July 2019, COPT has been open to the whole society, and users can download and use it free of charge. As of February 20, 2021, a large number of free users have been accumulated through the official application channel, of which 68% are from academia and 32% from industry. What is more worth mentioning is that, in addition to the domestic Beijing, Shanghai, Guangzhou, Shenzhen, Xiamen and other cities, the application of COPT has been extended to users from the United States, Germany, Australia, Japan, Singapore and other countries all over the world, marking the domestic self-developed solver formally stepped on the world stage, service global users.
According to the report, COPT academic users mainly come from universities and research institutions around the world, with students accounting for 82% and teachers accounting for 18%. Copt is widely favored by the academic community for research exploration in various industries and teaching of operations research. Free users in the industry blossom, covering software, manufacturing, logistics and transportation, energy, finance, retail and other industries, bringing together top talents from various enterprises, among which, the operation research algorithm engineers, IT engineers, mathematical scientists as the mainstream user group.
Second, full interpretation of commercial user portraits, COPT accelerates multi-industry digital transformation
Different from free users, COPT commercial users deeply cover the primary and secondary industries, which are the lifeblood of the country. They come from manufacturing, energy, logistics and transportation, aviation and other industries, among which industry accounts for up to 24% and electricity 20%. With the acceleration of the digital transformation of traditional Chinese enterprises, the demand of traditional large enterprises for cost reduction and efficiency improvement, resource allocation optimization, and revenue improvement is increasingly strong, and this figure is also deeply matched with the conclusion of our report.
At present, most enterprises are equipped with professional and technical personnel such as technical experts, algorithm engineers, etc., based on the existing IT system and digital system, mobilize rich data resources, solver as the engine, to provide a steady flow of momentum for the intelligent decision-making process of enterprises. The biggest feature of the optimization solver is that it can bring real benefits to the enterprise, significantly reduce all kinds of costs and greatly increase profits. At the same time, the optimization algorithm also has the advantages of traceability, simulation and agile adjustment.
The main commercial application scenario of mathematical optimization solution technology is to convert complex business problems into mathematical problems and optimize the solution. In this field, among the three major mathematical models (linear programming, mixed integer programming, nonlinear programming), the report shows that 78% of business users regard mixed integer programming as the main optimization problem type, which is also the most difficult mathematical model to solve. Up to now, COPT is still the only comprehensive mathematical programming solver in China that has the capability of both large-scale linear programming (simplex method and interior point method) and mixed integer programming.
As an important branch of the field of artificial intelligence, operation optimization is the decisive factor for the implementation of enterprise digitalization, automation and intelligent algorithm decision, and the transformation of mathematical model into productivity. Faced with the challenges of exponential growth of enterprise data and increasingly refined business constraints, a powerful optimization solver is indispensable.
In China, the diversified business digital application scenarios provide an excellent stage for decision optimization. Under the new normal of future uncertainty, the key to the survival and development of enterprises lies in their intelligent level. Moreover, after years of digital construction, most enterprises have relatively perfect IT system and data system, with rich data resources. It can be said that everything is ready only to further promote the integration of intelligent decision-making and business, and open the next stage of digital transformation.
