Batch Job Architecture and Dependencies
SyteLine batch jobs have complex dependencies: cost rollups must complete before MRP runs, MRP must finish before planned order firming, and financial posting requires all transaction processing to complete. Building a dependency-aware job chain prevents the most common batch failures, jobs running out of sequence or starting before prerequisites finish. Use the SyteLine Task Scheduler in combination with external orchestration tools for multi-step dependency management.
- Map all batch job dependencies in a directed acyclic graph to identify the critical path
- Configure the SyteLine Task Scheduler with predecessor job conditions for automatic sequencing
- Set appropriate timeouts based on historical run times plus a 50% buffer for data growth
- Implement checkpoint logging so failed jobs can resume from the last successful step
MRP and Planning Batch Optimization
MRP regeneration is typically the longest-running batch process in SyteLine, often taking 2-8 hours for large environments. Optimization starts with proper planning parameter maintenance, incorrect lead times, phantom items, and inactive planned items all increase MRP runtime unnecessarily. Net change MRP can reduce runtime by 80%+ compared to full regeneration for most daily runs.
Use full regeneration only weekly or after major master data changes.
- Run net change MRP daily and full regeneration weekly to balance accuracy with runtime
- Purge inactive planning items and obsolete planned orders before MRP to reduce processing scope
- Optimize planning parameters, incorrect lot sizes and lead times increase MRP iterations
- Monitor MRP runtime trends weekly to detect gradual degradation before it becomes critical
Monitoring and Error Recovery
Unmonitored batch jobs are ticking time bombs. Implement proactive monitoring that alerts on job failures, excessive runtimes, and data anomalies in results. Build self-healing capability where possible, for example, automatic retry of transient failures and automatic cleanup of lock conflicts.
Every batch job should produce a completion status that feeds a centralized monitoring dashboard visible to both IT and operations teams.
- Configure email or SMS alerts for batch job failures with error details and suggested remediation
- Build automatic retry logic for transient database locks and connection timeout failures
- Create a batch processing dashboard showing job status, runtime trends, and success rates
- Implement post-job validation checks that verify expected outputs before marking jobs complete
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IBM i Batch Job Schedule Documentation Worksheet
Editable run book of scheduled jobs with timing, dependency, owner, runtime and restart notes plus a total nightly batch window.
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