Founded in July 2007 and located in Haiyang, Shandong Province, this nuclear power equipment manufacturing enterprise is a secondary unit of SPIC and the world's first enterprise dedicated to manufacturing equipment for passive pressurized water reactor nuclear power plants. The company serves as the Civil Nuclear Safety Welding Assessment Center of the National Nuclear Safety Administration and is recognized as a National Intellectual Property Advantage Enterprise. It has also won honors such as Shandong Province's "Specialized and Sophisticated" Enterprise and High-Tech Enterprise. It holds 163 patent applications and 4 international authorized patents. The company has fully mastered the manufacturing technologies for 22 major categories of nuclear power equipment, including the world's third-generation nuclear power steel containment vessels and reactor pressure vessel integration, successfully fulfilling the localization and independent manufacturing mission for the key equipment of the world's first batch of four AP1000 nuclear power units.
Nuclear power equipment manufacturing involves complex processes and high precision requirements. Under the traditional model, planning is disconnected from execution, the production process is opaque, material transfers at key nodes lack precise control, and resource utilization efficiency is low.
Nuclear products have exceptionally stringent requirements for weld seam quality and dimensional accuracy. Traditional paper-based recording leads to delayed quality data collection and poor traceability, failing to meet nuclear safety-grade quality management standards.
Nuclear operations have strict requirements for personnel qualifications. The traditional model lacks systematic control over quality checkpoints like qualification training, operations, and reviews, posing risks of expired qualifications or operations beyond an approved scope.
While the group's ERP has achieved collaboration in backbone business processes, personalized and refined management data at the production end remains disconnected. Production and quality inspection data cannot be shared, and business processes are not standardized, affecting production efficiency and quality stability.
The lack of visual analysis tools makes it impossible to pinpoint production bottlenecks accurately. Performance indicators and continuous improvement plans lack real data support, making management methods like TPM and QC difficult to implement.