MRP-like production management, mostly used by companies, consists in optimizing components requirement management by planning and scheduling production activities, according with customer demand forecasting. The known advantages of this approach are (1) flexibility, allowing to easily introduce parameters changes and define a new production planning based on updated data, (2) adaptability to treat products with complex lists of references, and (3) consistency in resources capacity management. These properties also contribute to ensure a more efficient production management by reducing in-process products stocks. In this context, this paper presents a hierarchical data structure for providing each planning-scheduling decision with a relevant level of detail. The approach is based on a generalized formulation of the load allocation problem according to a multi-level structure of technical data. Here, the focus is not put on the allocation problem itself but it is proposed a formal model to support the desegregation of technical data while planning and scheduling production activities.