Search Results mrp_recommendations

Deep Dive into MRP_RECOMMENDATIONS Table in Oracle EBS 12.1.1/12.2.2

The MRP_RECOMMENDATIONS table is a critical component of Oracle E-Business Suite (EBS) 12.1.1 and 12.2.2, specifically within the Manufacturing Planning (MRP) module. It stores output recommendations generated by the Material Requirements Planning (MRP) or Advanced Supply Chain Planning (ASCP) engines. These recommendations drive procurement, production, and inventory decisions.

Key Attributes and Structure

The table contains fields that categorize recommendations by type (e.g., Planned Orders, Purchase Requisitions, Reschedules) and link them to items, organizations, and demand sources. Key columns include:

• RECOMMENDATION_ID: Primary key for tracking recommendations.
• ORGANIZATION_ID: Identifies the inventory organization.
• INVENTORY_ITEM_ID: References the item in MTL_SYSTEM_ITEMS_B.
• RECOMMENDATION_TYPE: Classifies the action (e.g., "CREATE_PO", "RESCHEDULE").
• QUANTITY: Specifies the recommended quantity.
• DUE_DATE: Indicates the required fulfillment date.
• SOURCE_TYPE: Ties recommendations to demand (e.g., Sales Order, Forecast).

Functional Role in MRP Process

During an MRP run, the engine analyzes demand (forecasts, sales orders) and supply (on-hand, purchase orders) to generate recommendations stored in this table. These records serve as the basis for:

1. Planned Orders: Convertible to production work orders.
2. Purchase Requisitions: Used for external procurement.
3. Reschedule Notices: Adjusts existing order dates.
4. Cancelation Suggestions: Flags excess supply.

Integration with Other Modules

The table interfaces with:

• Inventory (INV): Validates item/organization combinations.
• Purchasing (PO): Converts purchase recommendations to requisitions.
• Work in Process (WIP): Sources data for production scheduling.
• Order Management (OM): Links to sales order demand.

Technical Considerations

In Oracle EBS 12.2.2, the table may leverage Oracle's Online Patching (ADOP) framework. Performance tuning is critical for high-volume environments, requiring:

• Index optimization on frequently queried columns (ORGANIZATION_ID, DUE_DATE).
• Partitioning strategies for large datasets.
• Purge routines via MRP_RECOMMENDATIONS_PURGE API to manage table growth.

Customization and Extensions

Organizations often extend functionality by:

• Creating triggers to log recommendation changes.
• Developing custom workflows for approval routing.
• Building BI reports on recommendation patterns.

Conclusion

The MRP_RECOMMENDATIONS table acts as the operational bridge between planning engines and execution systems in Oracle EBS. Its design supports complex supply chain scenarios while maintaining integration fidelity across modules. Proper management of this table ensures accurate material flow alignment with organizational demand.