MRO Spare Parts Inventory Governance: 6 Best Practices
- Mar 2
- 3 min read
Updated: Mar 3
Stock performance is not driven by one big optimization exercise. It is driven by a long sequence of small operational decisions: creating items, defining parameters, updating lead times, approving substitutes, deciding whether to transfer, keep, or dispose of non-moving stock. Over time, these decisions accumulate and have a direct impact on service, working capital, and workload.
The purpose of governance is simple: make these daily decisions consistent, traceable, and repeatable, even when conditions change.

Based on our experience in industrial environments, here are six governance practices that pay off in the long term:
1) Decision rights and RACI:
Inventory governance fails when responsibility is “shared” and nobody owns the outcome. Define decision rights clearly: who proposes, who validates, and who is accountable for key decisions such as parameter changes, disposal/transfer of idle stock, and stock centralization or pooling.
Keep the approval chain short. In practice, one accountable validator per decision type is usually enough to avoid decisions happening outside the process.
2) Parameter change traceability:
Any change to Min, Max, reorder point, lead time, MOQ, or service level target must be traceable.
This does not require heavy bureaucracy. A minimum change log is sufficient:
what changed
reason
validator
date
The objective is auditability and learning. If a stockout happens again for instance, teams should be able to review what was changed and why, instead of restarting the same debate.
3) Review cadence and routines:
Parameters do not stay correct forever. Without a review cadence, they become outdated over time.
A practical approach is to set review frequency by segment:
high criticality and active items are reviewed more often
slow movers and low risk items are reviewed less often
idle and obsolete candidates are reviewed through a dedicated routine (transfer, disposal, reclassification)
This keeps effort proportional and avoids treating a portfolio of thousands of items as if every item deserves the same attention.
4) Multi-site alignment and incentives:
Local optimization can create global inefficiency. Typical issues include sites increasing safety stock to protect local service, duplicated coverage across plants, and inconsistent criticality classification.
When multi-site pooling is relevant, rules need to exist at group level: pooling principles, transfer processes, and shared service targets where applicable.
Incentives also matter. If performance is measured only at site level, decisions often increase total working capital. Track both service performance and overall stock investment to keep decisions balanced.
5) KPI and governance meetings:
KPIs should exist to drive decisions, not to build dashboards.
In practice, a monthly routine works best when it is built around exceptions and actions:
critical stockouts to analyse and close
the largest non-moving stock positions to decide (transfer, disposal, etc.)
the few supplier lead time issues that create repeated risk
Etc.
The meeting should be short and decision-focused. Each topic must end with an owner, an action, and a due date.
6) Continuous improvement mindset
Again, inventory optimization is driven by a stream of small daily decisions: standardizing item codes, setting or adjusting parameters, updating lead times, and deciding what to keep or remove from stock.
Each decision looks small on its own, but over time the accumulation has a major impact on availability, working capital, and workload. This is a marathon, not a sprint. Governance is what makes those decisions consistent, so improvements accumulate instead of being reset every few months.




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