Critical Spares, Lead-Time Demand, Safety Stock, Inventory Position, Stockout Exposure & Working Capital
Marine Spare Parts Inventory & Stockout Cost Tool
Screen whether a spare-parts position is likely to cover demand during supplier lead time and what an availability gap could cost. The model separates normal part value from the incremental economic penalty of expediting and operational downtime, then shows the working-capital tradeoff behind higher service levels.
↑
Need a multi-part critical-spares portfolio, lead-time uncertainty and working-capital view? Click Advanced above.Advanced adds demand and supplier lead-time variability, backorders, criticality, MOQ, annual carrying cost and EOQ reference by spare. Part names are not sent to Tool Data.
Fast Spare-Stock Screen
Exactly 10 primary inputs. The stockout probability is a planning estimate based on a normal lead-time demand approximation, not a reliability guarantee.
units/year.
days.
Coefficient of variation of daily demand, %.
% probability of no stockout in a replenishment cycle under the model.
Selected currency/unit.
Incremental selected currency per shortage unit.
hours/event.
Selected currency/hour.
Portfolio Financial Basis
% of average inventory value/year.
Selected currency per order, used for EOQ reference only.
Selected currency; planning flag only.
Critical Spare Parts Register
Criticality is your own 1-5 operational classification. The statistical model assumes approximately independent daily demand and normally distributed lead-time demand. On-order quantity should represent stock expected to arrive within the entered lead-time window.
| Spare / part | Criticality 1-5 | Annual demand | Demand CV % | Lead days | Lead CV % | Service target % | On hand | On order | Backorders | Unit cost | Emergency premium / unit | Downtime h / stockout | Value / h | MOQ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Critical-Spares Readiness
Inventory-planning screen only: this tool does not replace statutory, class, OEM, flag, company SMS or vessel-specific minimum-spares requirements. The statistical outputs depend on the entered demand and lead-time distributions. Stockout probability and expected shortage exposure are model-based planning estimates, not guarantees of part availability or machinery reliability.