Marine Reliability, Repair Logistics & Critical Spare Decision Support

Ship Machinery Failure Downtime, Spare Strategy & Repair Cost Tool

Model what a machinery failure really costs when repair labor, vessel downtime, sourcing delays, emergency freight and inventory capital are considered together. Compare no dedicated spare, pooled shore stock and onboard spare strategies, estimate lead-time stockout risk and identify which machinery deserves scarce spare-parts capital first.

Currency
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Fleet & Repair Logistics

The model treats spare strategy as an availability and lifecycle-cost decision. Inventory service level is estimated from expected spare demand during replenishment lead time, so pooling, stock quantity and failure frequency all affect stockout exposure.

hours/failure
$ / labor hour
$
$
$
hours
%
Screening input for capital, storage, administration and inventory burden.
%
years
%

Machinery Failure Exposure

failures/year
%
Use less than 100% when redundancy or operating flexibility means only part of physical repair time creates a commercial loss.
hours/failure
$ / hour
$

Critical Spare Strategy

%
$
hours
hours
days

Machinery & Critical Spare Register

Each row represents one machinery / spare family. Onboard stock is per vessel. Shore-pool stock is shared across the entered fleet for that spare family.

Machinery / spare Qty / vessel Failures / asset-yr Exposure % Repair h Downtime / h Base repair Spare coverage % Spare price Onboard qty / vessel Pool qty No-spare lead h Pool delivery h Replenish days Criticality
Reliability and inventory screen: Spare criticality should not be determined from financial return alone. Safety, statutory requirements, redundancy, OEM recommendations, class requirements, mission requirements, repairability, commonality, shelf life and actual supply-chain conditions can justify stocking a spare even when its direct economic ROI is weak. The service-level calculation used here is a planning approximation, not a full inventory simulation.
Model boundary: Expected failures are modeled from entered annual frequencies. Lead-time spare availability uses a Poisson demand approximation for demand during replenishment lead time. Downtime values, failure frequencies, freight costs, repair times, stock quantities and spare applicability are user inputs because actual machinery reliability and supply-chain exposure vary materially by vessel, component, operating profile and location.
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