How to Fix Slow MRP Performance in SyteLine
An MRP run in SyteLine that once completed in 30 minutes but now takes 4-6 hours is a telltale sign of data growth outpacing system configuration. Slow MRP performance in CloudSuite Industrial is typically caused by a combination of excessive planning data, missing SQL indexes, suboptimal MRP parameters, and insufficient server resources. The error 'MRP processing exceeded maximum run time' or simply a hung MRP background task signals it is time to tune.
Profiling MRP Performance Bottlenecks
Before making changes, profile the current MRP run to identify where time is being spent. SyteLine MRP processing has distinct phases: data extraction, netting, lot sizing, lead time offsetting, and planned order generation. The SyteLine MRP log and SQL Server Activity Monitor together reveal which phase is consuming disproportionate time and which SQL queries are causing blocking or excessive I/O.
- Enable detailed MRP logging in SyteLine Configuration Manager: set MRP Trace Level to 'Verbose' to capture per-phase timing breakdown
- Run SQL Server Profiler or Extended Events during the MRP run filtering for queries executing longer than 10 seconds against planning tables
- Check for SQL blocking chains using sp_who2 or sys.dm_exec_requests during MRP execution to identify lock contention on MRP temp tables
- Review the MRP Parameters form for the 'Planning Horizon' setting; reducing from 365 days to 180 days can cut MRP time by 40-50%
- Verify tempdb is sized appropriately (at least 20% of application database size) since MRP creates substantial temporary working sets
MRP Performance Optimization Steps
The highest-impact optimizations for SyteLine MRP performance are: reducing the planning data set through proper parameter configuration, adding missing indexes to planning tables, and enabling parallel processing. These three changes together typically reduce MRP run time by 60-80% without any hardware upgrades.
- Reduce the MRP planning horizon from 365 to 180 days and set the Planning Fence to 90 days to limit the netting calculation scope
- Add nonclustered indexes on the demand and supply tables: CREATE INDEX IX_Demand_Item_Date ON demand(item, due_date) INCLUDE (qty_ordered, qty_received)
- Enable MRP parallel processing in SyteLine Configuration Manager: set 'Max MRP Threads' to match half your server's logical CPU count (e.g., 8 threads for 16 cores)
- Archive or delete obsolete planned orders, expired forecasts, and cancelled demand records older than the planning horizon before each MRP run
- Rebuild statistics on the item, demand, supply, and jobmatl tables immediately before the MRP run: UPDATE STATISTICS demand WITH FULLSCAN
Long-Term MRP Performance Strategy
Sustainable MRP performance requires ongoing data hygiene, scheduled index maintenance, and capacity planning aligned with business growth. Organizations that implement weekly planning data cleanup and monthly index rebuilds maintain consistent MRP run times even as transaction volumes grow 20-30% year over year.
- Schedule weekly SQL Agent jobs to archive planned orders older than 6 months and purge MRP messages older than 90 days
- Run ALTER INDEX REBUILD on all planning-related tables every Sunday night with a fill factor of 85% for optimal read/write balance
- Monitor MRP run time trends monthly; a 20% increase month-over-month signals data growth outpacing current configuration and triggers a tuning review
- Consider upgrading to net-change MRP (regenerative for new items only) instead of full regenerative MRP for daily runs to reduce processing scope by 70%
Netray AI agents continuously monitor your SyteLine MRP performance, recommend parameter optimizations, and auto-tune SQL indexes to keep MRP runs under your target completion time. Book a demo.
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