The reporter learned today that the State Administration for Market Regulation approved the release of the national standard "Intelligent Manufacturing and Process Industry Smart Factory Business Management Specifications", which will be officially implemented from May 1, 2027.
The process industry is a basic industry that supports the development of the national economy, covering petrochemicals, steel, pharmaceuticals, building materials, nonferrous metals, food processing and other fields. It has the characteristics of continuous production, high process coupling, and high safety risks. Currently, process industry enterprises still face problems such as inconsistent management frameworks, insufficient collaboration between systems, difficulty in sharing data, and insufficient connection between technology applications and management needs in the construction of smart factories. This standard is based on the characteristics of the process industry and puts forward systematic requirements for the main business activities of smart factories.
Build a unified framework to make smart factory construction "rule-based". This standard proposes for the first time a process industry smart factory business management framework, covering five modules: R&D and design, production and manufacturing, operation support, full-chain collaboration and management methods, involving core links such as design, planning, scheduling, quality, and safety. At the same time, five basic principles of data drive, system integration, safety and environmental protection, flexible adaptation and continuous improvement are established to provide a basis for standardizing business processes and promoting system collaboration in different sub-sectors.
Emphasis on data drive to make continuous production "visible and accurate". This standard requires the establishment of a unified data platform covering the entire process of data collection of raw materials, processes, equipment, products, and emissions with industrial big data as the core. Standardize the collaborative application of systems such as planning and scheduling, production execution, and process control to achieve closed-loop precise control of planning, scheduling, operations, and warehousing and logistics. Promote the use of digital twins, artificial intelligence and other technologies to assist scheduling optimization, analysis and handling of abnormal working conditions, and improve the timeliness and accuracy of production operation management.
Strictly adhere to the bottom line of safety and environmental protection, and "lock and seal" high-risk scenes. This standard embeds requirements such as graded management and control of safety risks, investigation and management of hidden dangers, approval of special operations, and traceability of hazardous chemicals into business processes to build a dual prevention mechanism for graded risk management and control and investigation and management of hidden dangers. At the same time, multi-objective collaborative optimization is adopted to promote coordinated advancement of safe production, energy conservation and consumption reduction, and pollution prevention and control.
Through full-chain collaboration, the management system can be “measurable and iterative”. The standard emphasizes strengthening the connection between the company's internal and upstream and downstream businesses, promoting the sharing of information such as procurement plans, supplier management, production arrangements and customer services, and improving the standardization level of business management through performance evaluation, data analysis and continuous improvement mechanisms.
