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ERP Migration

How to Validate Manufacturing BOM and Routing Data After ERP Migration

A practical guide for validating Bill of Materials and Routing data post-migration. Learn how to reconcile costs, check structural integrity, and ensure production continuity.

6 min readSysGenPro Editorial
How to Validate Manufacturing BOM and Routing Data After ERP Migration

How to Validate Manufacturing BOM and Routing Data After ERP Migration

Validating Bill of Materials (BOM) and Routing data after an ERP migration is a critical step to ensure production continuity and financial accuracy. The recommended approach involves a multi-layered validation process that combines automated structural checks, manual business process testing, and financial reconciliation. This process must occur in a staging environment before cutover and continue in the production environment immediately after go-live. The primary risks to control include incorrect component quantities leading to material shortages, erroneous routing times causing inaccurate capacity planning, and flawed cost calculations resulting in misstated inventory values and profit margins. Failure to validate these elements can lead to production stoppages, expedited shipping costs, and significant financial reporting errors. By systematically verifying data integrity, you protect operational efficiency and ensure that the new ERP system supports accurate manufacturing execution.

Preparation: Defining Validation Scope and Criteria

Before executing technical checks, define the scope of validation. Not all BOMs and routings may be migrated immediately if a phased rollout is planned. Identify the critical products that will be produced in the first 30 days post-migration. These high-priority items require the most rigorous testing. Establish clear acceptance criteria for what constitutes 'valid' data. For BOMs, this includes correct parent-child relationships, accurate component quantities, and valid unit of measure conversions. For routings, this includes correct operation sequences, valid work center assignments, and accurate setup and run times. Assign specific roles for validation. The IT team handles technical data integrity, while production planners verify workflow logic, and finance teams check cost implications. This cross-functional approach ensures that data is not only technically correct but also operationally usable.

Technical Validation: Structural Integrity Checks

The first layer of validation focuses on structural integrity. Use automated scripts or ERP reporting tools to scan the migrated data for common errors. Check for orphaned components, where a child item references a parent that does not exist or is inactive. Verify that all BOM lines have a valid component item code and that the item is active in the target system. Ensure that unit of measure conversions are correctly mapped. For example, if the legacy system used 'boxes' and the new system uses 'units', the conversion factor must be accurate. For routings, validate that all operations reference valid work centers. Check for missing operation sequences or gaps in the sequence numbers. Verify that setup and run times are populated and within reasonable ranges. These automated checks can quickly identify thousands of potential errors that would be impossible to catch manually.

Validation CheckBOM SpecificsRouting SpecificsResponsible Role
Structural IntegrityParent-child links, active statusOperation sequence continuityIT/Data Team
Unit of MeasureConversion factors, base UoMTime units (hours, minutes)Production Planner
Resource AssignmentComponent availabilityWork center validityProduction Planner
Cost DataStandard cost roll-upLabor and overhead ratesFinance Team

Business Process Validation: End-to-End Testing

Technical integrity does not guarantee operational correctness. Conduct end-to-end business process testing in the staging environment. Create test production orders for a representative sample of products, including complex assemblies and simple items. Run Material Requirement Planning (MRP) to ensure that the system correctly calculates component requirements based on the BOM. Verify that the MRP explosion respects the BOM structure and lead times. Check that the system correctly assigns operations to work centers based on the routing. Simulate the production process by posting goods receipts for components and goods issues for finished goods. Monitor the consumption of materials and labor to ensure that the system tracks usage accurately. This testing reveals issues that structural checks miss, such as incorrect lead times or missing dependencies between operations.

Financial Reconciliation: Costing Accuracy

Manufacturing data directly impacts financial reporting. Validate that standard costs are correctly calculated in the new ERP system. Compare the standard cost of finished goods in the legacy system with the calculated cost in the new system. Investigate any variances. Common causes include incorrect labor rates, missing overhead allocations, or erroneous component costs. Ensure that the cost roll-up process works correctly for multi-level BOMs. Verify that the system correctly applies labor and overhead rates based on the routing times and work center assignments. Finance teams should review the inventory valuation reports to ensure that the total value of inventory matches the legacy system, adjusted for any known data cleansing activities. Discrepancies in costing can lead to misstated gross margins and incorrect financial statements.

Data Reconciliation: Legacy vs. Target

Perform a detailed reconciliation between the legacy system and the target ERP. Extract BOM and routing data from both systems and compare key fields. Use data comparison tools to identify mismatches. Focus on critical fields such as component quantities, operation times, and work center assignments. Document all discrepancies and determine whether they are due to data cleansing, transformation errors, or intentional changes. For example, if the legacy system had obsolete BOMs that were not migrated, this should be documented and approved by the business. Ensure that all active BOMs and routings in the legacy system are present in the target system. This reconciliation provides an audit trail and helps identify any data loss during the migration process.

Post-Go-Live Monitoring and Stabilization

Validation does not end at cutover. Implement a post-go-live monitoring plan to detect issues that may not have been caught in testing. Monitor production orders for errors or delays. Track material shortages and expedited shipments, which may indicate BOM errors. Monitor labor and overhead variances, which may indicate routing or costing issues. Establish a rapid response team to address data issues quickly. This team should include IT, production, and finance representatives. Regularly review error logs and user feedback to identify recurring problems. Make necessary data corrections and document the changes. Continue monitoring for at least 30 days post-go-live to ensure stability. This proactive approach minimizes the impact of data errors on operations and finances.

Common Pitfalls and How to Avoid Them

  • Ignoring unit of measure conversions: Always verify UoM mappings to prevent quantity errors.
  • Skipping multi-level BOM testing: Test complex assemblies to ensure correct cost roll-ups.
  • Overlooking work center capacity: Validate that routing times align with work center availability.
  • Failing to reconcile costs: Compare legacy and target costs to identify variances.
  • Lack of cross-functional involvement: Include production and finance in validation to ensure operational and financial accuracy.

Conclusion: Ensuring Long-Term Data Integrity

Validating manufacturing BOM and routing data after ERP migration is essential for operational success. By combining automated structural checks, end-to-end business process testing, and financial reconciliation, you can identify and resolve data issues before they impact production. Assign clear roles and responsibilities, and establish a post-go-live monitoring plan to ensure long-term data integrity. This disciplined approach protects your investment in the new ERP system and ensures that manufacturing operations run smoothly and efficiently. Remember that data validation is an ongoing process, not a one-time task. Continuously monitor and refine your data to maintain accuracy and support business growth.

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SysGenPro Editorial

SysGenPro Editorial

Platform & solutions team

Practical guidance on ERP, AI automation, cloud deployment and enterprise transformation from the SysGenPro team.

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Frequently asked questions

Common questions on this topic. Talk to our team for anything specific to your business.

01What are the most common BOM errors after ERP migration?

Common errors include incorrect component quantities, missing unit of measure conversions, orphaned components, and incorrect parent-child relationships. These errors can lead to material shortages or excess inventory.

02How do I verify that routing times are correct in the new system?

Compare routing times in the new system with historical data from the legacy system. Conduct time studies if necessary. Test production orders to ensure that the system correctly calculates labor and overhead based on routing times.

03Why do standard costs differ after migrating to a new ERP?

Cost differences can result from incorrect labor rates, missing overhead allocations, or erroneous component costs. Reconcile costs between the legacy and new systems to identify and resolve variances.

04What is the best way to test production orders before go-live?

Create test production orders for a representative sample of products in the staging environment. Run MRP, post goods receipts and issues, and monitor material and labor consumption to ensure accuracy.

05How long should BOM validation take after migration?

The duration depends on the complexity of the manufacturing process and the number of products. Typically, initial validation takes 1-2 weeks, with ongoing monitoring for 30 days post-go-live.

06Who is responsible for validating manufacturing data?

Validation is a cross-functional effort. IT handles technical integrity, production planners verify workflow logic, and finance teams check cost implications. Clear role assignment is crucial for success.

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