Wanted to share our EBOM-to-ERP synchronization automation project that reduced sync time from 6 hours to 45 minutes. We were running manual exports every night with significant delays impacting production planning.
Our implementation focused on PX batch processing with multi-threaded sync architecture. Key optimization was restructuring database queries and minimizing API calls through intelligent caching. Instead of individual part queries, we batch-fetch related components and cache ERP responses.
The solution handles 15,000+ BOM items across 200+ assemblies nightly. Multi-threaded approach processes 5 parallel streams while maintaining data integrity through transaction coordination. Database query optimization reduced roundtrips by 70% using prepared statements and connection pooling.
API call reduction came from grouping similar operations and implementing delta sync - only changed items trigger ERP updates. PX extensions handle the orchestration with custom event handlers monitoring BOM changes in real-time.
Happy to discuss technical details if others are tackling similar integration challenges.
This is impressive work. The 6 hours to 45 minutes improvement is substantial. How did you handle the multi-threaded coordination specifically? I’m curious about your approach to preventing race conditions when multiple threads are updating related BOM structures. Did you implement any locking mechanism at the Agile level or rely on database-level transaction isolation?
We used optimistic locking with version checking at the Agile object level. Each thread operates on distinct BOM branches - the parent assembly determines thread assignment using hash-based partitioning. Database transaction isolation is READ_COMMITTED with explicit row-level locks only during the final commit phase. The PX batch processor coordinates through a central queue manager that tracks processing state. If conflicts occur, the affected items move to a retry queue processed sequentially after parallel phase completes. We also implemented health checks that pause processing if database connection pool drops below 40% availability.
We use a hybrid approach. Custom change tracking table captures BOM modifications through PX event subscribers - specifically ItemEventListener and ChangeEventListener. This gives us millisecond-level precision versus audit trail queries which are expensive. The tracking table stores ITEM_ID, CHANGE_TYPE, and TIMESTAMP with a processed flag. Initial full sync runs on weekends using the same multi-threaded engine but without delta filtering. Incremental syncs query the tracking table for unprocessed changes from the last successful run. We maintain a sync state table that stores last_sync_timestamp and item_count per assembly to detect missed changes. If the count delta exceeds 5%, we trigger a targeted full resync for that assembly tree only.