PCI-6251At this year’s WAIC conference, the commercialization of AI large models has become a hot topic. In Huang Xiang’s view, the solution of large models requires the support of core optimization technical capabilities. In the industrial field, the production and operation scenarios are complex, the data scale is huge, and intelligent decision-making will play an increasingly important role in the application of full-link integrated industrial large models.
Management is changing to a network of complex capabilities, and intelligent manufacturing requires integrated AI decision-making
With the coordinated development of multiple industries, from the upstream energy, thermal power plants, new energy plants, wind power photovoltaic, through the transmission network to all walks of life, cross-industry and cross-scene integration and lean management has become the general trend. The previous single-line management mode is transforming into a full-link complex management mode of strategy, market, marketing, manufacturing, and raw materials, which requires more efficient and high-quality decision-making in all aspects of enterprises. Focusing on strategic, operational, and profit goals, manufacturing companies need integrated AI decision-making. Behind intelligent decision making is a common paradigm from input data to constraints and optimization goals. This paradigm holds true for all AI models. If the input data of the large language model is chat records, the input data of the manufacturing industry model is the full-link data and constraints from sales, production to raw materials, which is the core assePCI-6251ts and core competitiveness of the enterprise.
In the industrial field, Sanshu Technology has created an industrial intelligent manufacturing decision optimization platform – Shuyi, covering the enterprise’s operation optimization, collaborative manufacturing, order optimization, material coordination and other fields of decision optimization needs. From the front-end customer perception of the enterprise to the production supply, material coordination, and finally form the finished product delivery customer, which not only has a single point optimization, but also a whole link optimization, through end-to-end collaborative optimization, help enterprises to promote the application of industrial models.
Sugsugu intelligent decision solutions bring quantitative value to the high-quality development of manufacturing industry
For truly good technology, the business value should be able to be quantified. The intelligent deciPCI-6251sion plan provided by Sugu Technology has always been oriented by quantitative value, and can be quantified by typical business indicators such as order level, work efficiency level, and inventory level.
For example, enabling demand planning scenarios can improve forecasting accuracy through comprehensive demand perception and accurate forecasting models, and reduce inventory turnover days to achieve the establishment of demand planning-execution information closed loop. Enabling inventory and replenishment plan scenarios, including automatic replenishment, multi-level inventory replenishment, including scientific calculation of replenishment point, replenishment amount, warehouse allocation optimization and other modules, can reduce inventory costs while ensuring service level. With the enabling of the main production planning business scenario, the modular algorithm configuration scheme can be developed for different plan granularity and business decision scenarios, helping enterprises to quickly develop production scheduling schemes under different business objectives. At the same time, Sugishu Technology will also demand, inventory, master plan and other optimization modules, and energy, production, sales network and other full-link linkage, to help enterprises truly realize full-link collaborative optimization. Taking a chemical enterprise as an example, the end-to-end intelligent decision-making platform built by Sugsugu has built a full-link large model including operation, order and coordination, comprehensively optimized the efficiency and quality of all links, and achieved an 8% increase in sales satisfaction rate and a reduction of tens of millions of inventory funds.
