We recently completed a major EBOM migration project moving 15,000+ engineering BOMs from legacy PDM to SAP PLM 2022. Manual migration was taking 45 minutes per complex assembly, creating a 6-month bottleneck.
Implemented automated ETL pipeline using Python scripts with SAP PLM REST APIs. Key components:
# ETL validation framework
validator.check_bom_structure(ebom_data)
validator.verify_part_references()
if validator.errors: log_and_quarantine(ebom_data)
else: migrate_to_sap_plm(ebom_data)
Pipeline handles data quality validation upfront - checking part number formats, BOM hierarchy depth, material classifications, and reference integrity before migration. Quarantines problematic records for manual review.
Results: Reduced average cycle time from 45 minutes to 8 minutes per assembly (82% improvement). Processed 12,000 EBOMs in 3 weeks vs projected 6 months. Data quality validation caught 847 errors pre-migration that would have caused downstream issues.
Anyone else tackled large-scale EBOM migrations with similar automation approaches?
Built transactional batch processing with rollback capability. Each batch of 50 EBOMs tracked as atomic unit. API failures triggered automatic retry with exponential backoff (3 attempts). If batch failed after retries, entire batch rolled back and logged for manual intervention. Used checkpoint files to resume from last successful batch, preventing duplicate migrations. Also implemented rate limiting (max 10 concurrent API calls) to avoid overwhelming SAP PLM server during peak hours.
The validation framework is critical. We attempted EBOM migration without upfront quality checks and spent 4 weeks cleaning up broken references. What specific validation rules did your pipeline enforce? Curious about part number format validation and how you handled legacy numbering schemes that didn’t conform to SAP PLM standards.
For hierarchy mapping, we built a recursive traversal algorithm that preserved parent-child relationships by creating temporary UUID mappings. Legacy PDM used flat file structure, so we reconstructed tree from relationship tables. The ETL extracted root assemblies first, then processed children in dependency order to maintain referential integrity in SAP PLM.
Validation rules included: part number regex matching SAP format (XXX-NNNN-NN), BOM depth limit (max 8 levels), quantity field validation (positive decimals), unit of measure standardization (converting legacy units), and duplicate detection across migration batches. Legacy non-conforming part numbers got flagged for engineering review and renumbering before migration.
Impressive throughput improvement. How did you handle the BOM hierarchy mapping between legacy PDM structure and SAP PLM’s native BOM model? We’re planning similar migration for 8K assemblies and concerned about parent-child relationship preservation during transformation.