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Unified Benchmark Released for Smart Factory Construction in Process Industries, New National Standard to Take Effect May 1 Next Year

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China's State Administration for Market Regulation (Standardization Administration) has approved and released the national standard GB/T 48536—2026, "Smart Manufacturing — Business Management Specifications for Smart Factories in Process Industries," which will officially take effect on May 1, 2027. The standard, covering fields such as petrochemicals, steel, pharmaceuticals, building materials, nonferrous metals and food processing, establishes for the first time a business management framework for smart factories in process industries spanning five major modules — R&D and design, production and manufacturing, operational support, full-chain collaboration and management methods — and sets out five basic principles: data-driven operation, system integration, safety and environmental protection, flexible adaptation and continuous improvement. It requires building a unified data platform covering the full process of data collection across raw materials, processes, equipment, products and emissions, embedding safety risk classification control and hazard identification and remediation into business processes, and strengthening internal and upstream-downstream business linkages.

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Article title: Process industry smart factory construction now has a unified yardstick, new national standard to take effect May 1 next year

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Process industry smart factory construction now has a unified yardstick, new national standard to take effect May 1 next year

IT之家 November 14 news: Recently, the State Administration for Market Regulation (Standardization Administration) approved and released the national standard "Smart Manufacturing - Business Management Specification for Smart Factories in the Process Industry" (GB/T 48536—2026), which will be officially implemented from May 1, 2027.

The announcement states that the process industry is a foundational industry supporting national economic development, covering fields such as petrochemicals, steel, pharmaceuticals, building materials, nonferrous metals, and food processing, and is characterized by continuous production, high process coupling, and relatively high safety risks. At present, process industry enterprises still face problems in smart factory construction such as inconsistent management frameworks, insufficient collaboration between systems, difficulty in data sharing, and inadequate connection between technology application and management needs. This standard is based on the characteristics of the process industry and puts forward systematic requirements for the main business activities of smart factories.

Building a unified framework so that smart factory construction "has rules to follow." This standard for the first time proposes a business management framework for smart factories in the process industry, covering five major modules: R&D and design, production and manufacturing, operational support, full-chain collaboration, and management methods, and involving core links such as design, planning, scheduling, quality, and safety. At the same time, it establishes five basic principles: data-driven, system integration, safety and environmental protection, flexible adaptation, and continuous improvement, providing a basis for different sub-sectors to standardize business processes and promote system collaboration.

Emphasizing data-driven operations so that continuous production is "visible and accurately calculable." This standard requires taking industrial big data as the core and establishing a unified data platform covering data collection across the entire process of raw materials, processes, equipment, products, and emissions. It standardizes 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. It promotes the use of technologies such as digital twins and artificial intelligence to assist in scheduling optimization, analysis and handling of abnormal conditions, and improve the timeliness and precision of production operation management.

Strictly guarding the safety and environmental protection bottom line, "locking and sealing" high-risk scenarios. This standard embeds requirements such as tiered safety risk control, hidden danger investigation and governance, special operation approval, and hazardous chemicals traceability into business processes, building a dual prevention mechanism of tiered risk control and hidden danger investigation and governance. At the same time, it adopts multi-objective collaborative optimization to promote the coordinated advancement of safe production, energy conservation and consumption reduction, and pollution prevention and control.

Connecting full-chain collaboration so that the management system is "measurable and iterable." This standard emphasizes strengthening business connections within enterprises and across upstream and downstream, promoting information sharing in procurement planning, supplier management, production scheduling, and customer service, and improving the standardization level of business management through performance evaluation, data analysis, and continuous improvement mechanisms.

IT之家 noted that during the drafting of this standard, pilot verification has already been carried out in representative enterprises in industries such as petrochemicals, metallurgy, and pharmaceuticals. Next, the State Administration for Market Regulation, together with relevant departments such as the Ministry of Industry and Information Technology, will organize relevant units, industry associations, and enterprises to carry out standard interpretation, training, and pilot demonstrations, promote the application and popularization of this standard in the process industry field, and provide support for the intelligent transformation and high-quality development of enterprises.

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