1. Criticality-Based Stocking Rules
Not every part deserves the same level of protection. A critical part that can stop production, affect safety or disrupt service should not be managed in the same way as a low-impact consumable.
A structured rule could be:
“If a part is critical for asset uptime, has no substitute and causes high operational impact when unavailable, it should receive a higher service level target and stronger stock protection. Alternatively, a critical minimal stock should be defined by Engineering, a so-called insurance stock.”
More granular rules apply to more complex situations. For these situations, Lanza developed a risk-based workflow solution: The Risk Assessor. Relevant stakeholders in the organisation assess their organisation’s risks through prompted questions, leading to a stocking policy which is fully traceable and auditable.
2. Demand-Pattern Rules
Spare parts demand is often intermittent. Some parts are used weekly, while others may not move for years. This makes demand behaviour an important input for inventory policy.
So instead of saying, “We used one last year, so we should order more,” the rule becomes: “Does this part have demand with a trend, seasonality, intervals of zero demand and can we perhaps relate the demand to maintenance plans or installed base and BOM information?”
3. Lead-Time Rules
Supplier lead times define the level of supply risk. A part with a low supply risk (two-day lead time) does not require the same stock coverage as a component with a six-month lead time. But even more important, items with similar average lead times but higher lead-time volatility require much more stock to account for these expected disruptions.
Lead-time rules help organisations avoid two common mistakes: overstocking easy-to-source parts and understocking parts that are difficult to replace quickly. Moreover, taking into account lead time volatility better mimics reality than standard ERPs do, reducing the risk of understocking.
4. Lifecycle-Based Rules
Parts should also be managed differently depending on the lifecycle of the asset or component they support. When phasing in an item, no history is available, which forces you to use Recommended Spare Parts Lists or reliability information from your OEM or OCM. At the same time, during phase-out, final buys become important. To do this, proper demand forecasting and a strong connection to your Bill of Materials are vital.
This avoids the need to continue replenishing parts for assets that are being retired or technically replaced.
5. Value-Based Rules
Inventory value should influence how to define your order quantity, how frequently a part is reviewed and who is allowed to approve stock increases.
This prevents expensive stock from growing unnoticed and helps organisations focus management attention where the financial exposure is highest. For expensive parts, holding costs outweigh ordering costs, resulting in lower order quantities than for cheap parts.
A relevant example is how Nampak unlocked capital by optimising spare parts inventory, showing how better inventory decisions can support both financial and operational performance.
6. Service Level Rules
Service levels should not be the same for every part. They should be linked to part criticality, movement and the value of an item.
Typically, critical parts require far higher service level targets to prevent operational downtime. For cheap, fast movers, higher service level targets also apply. Here the financial risk of stock is low, but there is a weekly or even daily requirement. Failing to meet these frequent requirements could place a significant strain on the operation.
7. Review Rules
Structured rules should also define when a part must be reviewed. Without review triggers, inventory policies become outdated. The more critical and fast-moving a part is, the more frequently a review should take place. These rules keep the inventory strategy alive instead of letting it become outdated.