Prefabricated construction addresses the extensive construction timelines and environmental pollution associated with traditional building methods. However, challenges such as inconsistent design standards and insufficient information exchange persist across various stages. This paper harnesses Building Information Modeling (BIM) technology to mitigate these practical challenges in prefabricated buildings. It adapts the Industry Foundation Classes (IFC) standard framework to BIM technology and proposes an integrated management model for prefabricated building information using BIM. The engineering construction process is segmented into phases, and a combination of structured and unstructured data is employed to construct a hierarchical BIM model that facilitates the scheduling of large-scale data. For optimizing information scheduling, the Dynamo software programmatically divides components of the prefabricated building, and Python is utilized to streamline the development of corresponding nodes. A case study involving a multi-story residential building in Shijiazhuang City, Hebei Province, demonstrates the benefits of this parametric design approach. Optimizations in the production and construction processes led to a reduction in total project duration by one day and an increase in direct economic benefits by 1,590,500 yuan, thereby underscoring significant financial advantages. This research contributes to the rapid implementation of functional requirements in prefabricated buildings, enhances work efficiency, and offers a novel approach to parametric modeling for this sector.