Search Results stock




The MSC.MSC_ANALYSIS_AGGREGATE table in Oracle E-Business Suite (EBS) 12.1.1 and 12.2.2 is a critical data structure within the Oracle Advanced Supply Chain Planning (ASCP) module. It serves as a repository for aggregated demand, supply, and inventory data, enabling planners to perform high-level analysis and decision-making. This table is part of the Manufacturing and Supply Chain (MSC) schema and is primarily utilized by the Planning Data Server and other ASCP-related processes.

Purpose and Functionality

The MSC_ANALYSIS_AGGREGATE table stores pre-aggregated data derived from transactional tables such as MSC_SUPPLIES, MSC_DEMANDS, and MSC_ITEMS. Its primary purpose is to optimize query performance for analytical reports and dashboards by reducing the need for real-time aggregation during runtime. The table consolidates data at various levels of granularity, including organization, item, category, and time bucket, allowing planners to view summarized metrics like projected available balance, demand fulfillment rates, and supply coverage.

Key Columns and Structure

The table includes columns such as:
  • AGGREGATE_TYPE: Specifies the level of aggregation (e.g., by item, organization, or category).
  • ORGANIZATION_ID: Identifies the inventory organization.
  • INVENTORY_ITEM_ID: References the item being analyzed.
  • CATEGORY_ID: Used for category-level aggregation.
  • BUCKET_TYPE: Defines the time bucket (e.g., daily, weekly, monthly).
  • QUANTITY: Stores aggregated values like demand, supply, or inventory.
  • LAST_UPDATE_DATE: Tracks when the data was last refreshed.

Integration with ASCP Processes

The MSC_ANALYSIS_AGGREGATE table is populated during the ASCP plan run or via standalone aggregation routines. It supports critical ASCP features like:
  • Plan Optimization: Provides summarized data for constraint-based planning.
  • What-If Analysis: Enables scenario modeling by comparing aggregated data across different plans.
  • Performance Metrics: Facilitates calculation of key performance indicators (KPIs) like service levels and inventory turns.

Technical Considerations

In EBS 12.1.1 and 12.2.2, the table's performance is heavily dependent on proper indexing and partitioning. Oracle recommends:
  • Creating indexes on frequently queried columns like ORGANIZATION_ID and INVENTORY_ITEM_ID.
  • Partitioning by BUCKET_TYPE or AGGREGATE_TYPE for large datasets.
  • Scheduling regular purges of obsolete data to maintain optimal performance.

Customization and Extensions

While the table is primarily managed by Oracle ASCP, customizations can include:
  • Adding user-defined aggregation levels via custom columns.
  • Integrating with external BI tools by exposing the table through views.
  • Extending data retention policies for historical trend analysis.

Conclusion

The MSC.MSC_ANALYSIS_AGGREGATE table is a foundational component of Oracle ASCP, enabling efficient data analysis and decision support. Its design reflects Oracle's focus on balancing flexibility with performance, making it indispensable for supply chain planners in EBS 12.1.1 and 12.2.2 environments. Proper maintenance and tuning of this table are essential for ensuring responsive planning cycles and accurate supply chain analytics.