Search Results ahl_uf_details_uk1

Overview

The AHL_UF_DETAILS table is a core data object within the Oracle E-Business Suite Complex Maintenance, Repair, and Overhaul (CMRO) application. It functions as the detail-level repository for unit forecasts, which are critical for planning and scheduling maintenance activities on serialized equipment or assets (units). The table stores the projected usage or consumption details for a unit over time, enabling proactive maintenance scheduling based on forecasted metrics rather than solely on elapsed time or reactive triggers. Its role is to support the forecasting engine within AHL, providing the granular data necessary for generating accurate maintenance work orders and resource plans.

Key Information Stored

The table's structure is designed to capture forecast details linked to a parent forecast header and defined by specific measurement parameters. Key columns include the primary identifier UF_DETAIL_ID, which uniquely identifies each forecast detail record. The UF_HEADER_ID column is a critical foreign key that links the detail line to its parent forecast definition in the AHL_UF_HEADERS table. The measurement parameters are defined by UOM_CODE (Unit of Measure, such as hours, miles, or cycles) and START_DATE, which together with UF_HEADER_ID form a unique key (AHL_UF_DETAILS_UK1). This combination ensures that for a given forecast header, there cannot be duplicate forecast entries for the same unit of measure starting on the same date. Additional columns typically found in such detail tables would store the forecasted quantity or rate for the specified period.

Common Use Cases and Queries

This table is central to reporting and analytical queries related to maintenance forecasting. A common use case involves generating a report of all forecast details for a specific unit or forecast header to analyze projected usage over time. Development and integration scenarios often require querying this table to extract forecast data for downstream systems or custom planning tools. A typical SQL pattern involves joining to the header table to retrieve descriptive information.

• Sample Query for Forecast Details:
  SELECT hdr.FORECAST_NAME, det.UOM_CODE, det.START_DATE, det.QUANTITY
  FROM AHL_UF_DETAILS det, AHL_UF_HEADERS hdr
  WHERE det.UF_HEADER_ID = hdr.UF_HEADER_ID
  AND hdr.UNIT_HEADER_ID = :p_unit_id
  ORDER BY det.UOM_CODE, det.START_DATE;
• Data Validation: Queries are also used to ensure data integrity, such as checking for overlapping forecast periods for the same UOM within a header.

Related Objects

The AHL_UF_DETAILS table has a direct and essential relationship with the AHL_UF_HEADERS table, which stores the master forecast definition. The documented foreign key relationship is:

• AHL_UF_HEADERS: The detail records are child records of a parent forecast header. The join is performed on the column AHL_UF_DETAILS.UF_HEADER_ID referencing the primary key of AHL_UF_HEADERS. This is a one-to-many relationship where one forecast header can have multiple detail lines for different UOMs and start dates.

While not explicitly listed in the provided metadata, this table is also likely referenced by various AHL forecasting and scheduling APIs and may serve as a source for key CMRO views that aggregate forecast data for user interfaces and standard reports.