40%
Vessel maintenance overhaul
Maintenance cost reduction across a fleet of 8 offshore support vessels within 24 months, through RCM and spare parts rationalisation.
Read the case studyMost stock holdings are set by whoever ordered last. Without clear rules, stores overstock cheap parts, understock long-lead critical ones and keep reordering items nobody uses. We help operators set a stocking strategy built on asset criticality, failure rate and supplier lead time. Stockholding goes down while the risk of waiting for parts goes down too.
A part with no known use cannot be managed. We link stock items to the assets and maintenance tasks that consume them, using the bill of materials, CMMS history and AI matching of part descriptions.
We set stocking classes based on the criticality of the parent asset, failure rate and lead time. A C1 asset with a 20-week lead time part is treated very differently from a C3 asset with a part on next-day delivery.
Generic reorder rules ignore how often parts actually fail. We calculate holdings from usage and failure data, using OREDA failure rates where your own records are thin, and flag items for removal or consignment.
Not every critical part needs to sit on your shelf. We look at shared pools, supplier stock agreements and consignment where they reduce cost without adding risk.
40%
Maintenance cost reduction across a fleet of 8 offshore support vessels within 24 months, through RCM and spare parts rationalisation.
Read the case studyA set of rules that decide which parts are held, in what quantity and where, based on the risk of not having them.
Parts for high-criticality assets with long lead times justify holding stock. Parts for low-criticality assets often do not.
Tell us what you run and what keeps going wrong. We'll tell you straight how we'd approach it.
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