Risk-based stocking decisions for critical and slow-moving spares

A part that moves twice a year with a nine-month lead time and a plant-stop consequence is often a better stocking candidate than a consumable that moves every week.

What the decision considers

Criticality

Supply risk

Lead time

Alternatives

Repairability

Demand

Stocking strategy

For slow-moving and critical spares, demand history alone is a weak guide. The consequence of not having the part, and how quickly it can be obtained, often matter more.

Your criticality model, your rules

Operations rate criticality and supply risk in different ways, and many already have an agreed model. StoXeo applies your existing criticality ratings, supply-risk factors and decision rules rather than replacing them. Where no model exists yet, Fourier-E can help you define one.

Rules are configurable and can be tested in simulation before they are used in production.

Strategies StoXeo supports

  • Non-stock / buy on demand
  • Supplier agreement
  • Min/max
  • Service-level inventory
  • Stocked spare
  • Plant-critical spare
  • Rotable pool
  • Shared stock across sites
  • Consignment or supplier-held stock
  • Dynamic stocking

 

Which strategy applies to which item is set by your rules.

Every decision is explained

Each recommended strategy shows the inputs and rule that led to it. Planners can accept, adjust or reject it, and the reason is recorded.

Frequently asked questions

For items that move only a few times a year, standard formulas tend to give unstable results. A risk-based decision on whether to hold the part, and how many, is often more practical.

Yes. StoXeo applies your criticality ratings and decision rules. It does not require you to adopt a fixed matrix.

A part held because the consequence of not having it is unacceptable, even if it is rarely or never used.

See StoXeo on your own data

Book a demonstration with an inventory specialist, or start with an inventory health check.

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