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The WIP_OP_YIELD_HISTORY table in Oracle E-Business Suite (EBS) 12.1.1 or 12.2.2 is a critical data repository within the Work in Process (WIP) module, specifically designed to track and store historical yield information for manufacturing operations. This table plays a pivotal role in production planning, quality control, and performance analysis by maintaining a record of yield metrics at the operation level over time. Below is a detailed breakdown of its structure, purpose, and integration within Oracle EBS.

Purpose and Functional Overview

The WIP_OP_YIELD_HISTORY table captures yield-related data for manufacturing operations, enabling organizations to monitor efficiency, identify bottlenecks, and improve production processes. Yield metrics—such as the ratio of good units produced to total units started—are stored historically, allowing trend analysis and comparison across periods. This supports decision-making for resource allocation, process optimization, and quality assurance.

Key Columns and Data Structure

The table includes columns that link operations to work orders, assemblies, and departments, along with yield-specific attributes. Notable columns include:
  • OPERATION_YIELD_ID: Primary key uniquely identifying each yield record.
  • ORGANIZATION_ID: Links to the inventory organization where the operation occurred.
  • WIP_ENTITY_ID: References the work order (job or schedule) in WIP_DISCRETE_JOBS or WIP_REPETITIVE_SCHEDULES.
  • OPERATION_SEQ_NUM: Sequence number of the operation within the routing.
  • YIELD: Stores the calculated yield percentage for the operation.
  • SCRAP_QUANTITY: Records the number of units scrapped during the operation.
  • TRANSACTION_DATE: Timestamp of the yield data capture.

Integration with Oracle EBS Modules

WIP_OP_YIELD_HISTORY integrates with several EBS modules:
  1. Work in Process (WIP): Ties yield data to specific operations in work orders, enabling real-time tracking against production schedules.
  2. Inventory: Correlates scrap quantities with inventory adjustments, ensuring accurate material valuation.
  3. Cost Management: Provides yield data for cost roll-up calculations, impacting standard and actual cost analysis.
  4. Quality Management (QA): Links yield metrics to quality test results, facilitating root-cause analysis for defects.

Business Process Context

During production, operators record completed quantities and scrap via WIP transactions. The system updates WIP_OP_YIELD_HISTORY to reflect yield percentages, which are derived from routing standards and actual output. For example:
  • If an operation starts 100 units and completes 90 good units with 5 scrapped, the yield is 90% (90/95).
  • Historical data helps identify recurring issues (e.g., high scrap rates at Operation 10) for corrective action.

Reporting and Analytics

The table serves as a source for key reports:
  • Operation Yield Analysis: Compares yield trends across time periods or work centers.
  • Scrap Analysis: Identifies high-scrap operations for process improvement.
  • Performance Dashboards: Visualizes yield metrics alongside OEE (Overall Equipment Effectiveness).

Technical Considerations

  • Indexing: Columns like WIP_ENTITY_ID and OPERATION_SEQ_NUM are typically indexed for performance.
  • Purge Policies: Historical data may be archived or purged based on retention rules to manage table growth.
  • APIs: Oracle provides PL/SQL APIs (e.g., WIP_YIELD_PUB) to programmatically access or update yield data.

Conclusion

The WIP_OP_YIELD_HISTORY table is indispensable for manufacturing organizations using Oracle EBS, offering granular insights into operational efficiency. By leveraging its historical yield data, businesses can drive continuous improvement, reduce waste, and align production outcomes with cost and quality objectives. Its integration across WIP, inventory, and cost modules ensures a holistic view of manufacturing performance.