Practice of Building Global Optimization Solutions to Empower Enterprises in Digital Transformation and Upgrading
The cost correlation between various links in industrial production is strong and mutually restrictive. Only considering the optimal cost of a single link will lead to a “barrel effect”. Therefore, the application of intelligent decision-making should aim for global optimization to maximize the comprehensive income of the enterprise. The widespread application of intelligent decision-making technology in the construction of industrial internet will fully activate industrial data, equip China’s intelligent manufacturing with a “decision-making brain”, and effectively assist the real economy in improving quality, reducing costs, and increasing efficiency.
At the press conference, Huang Xiang, Vice President of Industry and Intelligent Manufacturing at Shanshu Technology, shared the methods and practices of empowering enterprises with digital upgrading through the new generation of intelligent decision-making technology. He said, “Manufacturing enterprises are facing increasingly complex internal and external environments, and it is urgent to use” technological leverage “to achieve intelligent upgrading. The highest stage of intelligent upgrading is” decision-making intelligence “.”. As an artificial intelligence company dedicated to decision optimization technology, Shanshu’s “core engine+componentization” service approach can better adapt to changes in the Uka era, such as achieving the combination of maintenance plans and artificial intelligence for the first time in rail transit; In automotive parts, break down barriers in supply, production, sales, and demand, and achieve full value chain optimization; In the field of process manufacturing, from front-end supply to mid stage production and then to post stage production and sales collaboration, the value of intelligent decision-making is evident and is creating more direct manufacturing value in its unique way.

PP881 3BSE092978R1

Ma Jian, the General Manager of Anhui Liuguo Chemical, shared his practical experience of “empowering chemical enterprises with intelligent decision-making technology – collaborative decision-making in business operations”. He stated that traditional industrial manufacturing is also facing a transformation towards data intelligent production, and the fertilizer industry is facing severe situations such as structural overcapacity, serious product homogenization, and fluctuations in raw material prices. The quantifiable new collaborative management model has solved the complex demand for collaborative decision-making in business operations. Among them, intelligent decision-making integrates multiple system data in the production and sales chain, providing real-time and accurate key production and sales information, comprehensively reflecting the company’s supply chain situation, and providing support for high-level decision-making; According to the data calculation of the system’s one-year online launch, the benefits of this project are as follows: improving market response speed, expected to increase customer loyalty and satisfaction by 5%; Expected savings of 5% in transportation costs (transfer transportation); Reduce dealer inventory backlog by 20%, saving a total of 60 million yuan in overall comprehensive inventory costs; Increase inventory turnover by 10%, enhance interdepartmental collaboration efficiency by 20%, and reduce manpower investment time in demand planning and production planning by more than 50%. This shows me that the future of the digital production and sales transformation of agricultural and chemical enterprises has arrived.
Wang Jinshen, Deputy General Manager of Southern Airlines Engineering Technology Branch, stated in his sharing on “Intelligent Decision Technology Empowerment – Aviation Equipment Operation Optimization” that the aviation industry urgently needs to improve its plan “flexibility”, achieve rapid response, reduce costs and increase efficiency. In the past, the main business problems relied on manual experience, lacking global coordination and easy-to-use tools. The introduction of coordination learning and intelligent decision-making solutions has solved many business pain points. The engine management optimization project and aircraft scheduling solution of China Southern Airlines are good practices for intelligent decision-making. The intelligent decision-making solution reduces our zero standby days by 10%, unplanned issuance rate by 15%, temporary rental costs by 8%, and repair costs by 1.2%. These are all welcome changes.
Regarding the issue of “how intelligent decision-making can help enterprises seize the opportunity in transformation”, Qin Ye, Deputy Director of the Policy Research Department of the China Academy of Information and Communications Technology, said that traditional software vendors’ information technology solutions are more focused on solving problems at the level of enterprise automation. The intelligent solutions of the new generation of intelligent technologies usually adopt a platform based management approach, integrating the Internet of Things, cloud computing, big data, 5G Artificial intelligence and other cutting-edge information and communication technologies are integrated into the platform in a modular manner, and can be flexibly configured according to enterprise needs. The use of next-generation information and communication technology to achieve digitization, networking, and intelligence is a necessary path for enterprises to achieve transformation and upgrading.