Service · Advisory & Optimisation · Inventory Strategy

The right part.
The right place.
The right quantity.

Spares are working capital. Every part sitting on a shelf that is never used is a direct cost. Every critical part that is not on the shelf when it is needed is a production loss. Optimal delivers the criticality-led analysis that finds the correct position between those two failure modes — for every item in your storeroom.

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Service Summary

Criticality-led spare parts classification across the full asset base

Stock holding policy per item — stock, non-stock, insurance, run-to-failure

Reorder point and reorder quantity optimisation

Slow-moving, excess and obsolete inventory identification

CMMS catalogue cleansing and item master enrichment

Governance framework to prevent stock re-accumulation

Oil & Gas · Mining · Nuclear · Power · FMCG · Transport

CMMS-integrated output · SAP PM · IBM Maximo · Infor EAM

UK · Europe · Middle East · Africa

The Fundamental Tension

Every storeroom sits between
two failure modes

Spares optimisation is the discipline of finding the correct position between over-stocking and under-stocking — for every item, every site, every asset class. Neither extreme is acceptable. Both are expensive. Most organisations default toward one or the other without ever calculating where the rational position is.

The only way to find that position is through criticality-led analysis — connecting each spare part to the asset and failure mode it supports, quantifying the consequence of not having it available when it is needed, and setting a stock holding policy and quantity that reflects that consequence. That is what Optimal does.

Over-stocking — Working Capital Trapped

Slow-moving and excess stock ties up working capital, consumes warehouse space, incurs handling and insurance costs, and depreciates. Parts held beyond their shelf life become write-offs. Obsolete equipment spares never turn. The storeroom grows year on year without any systematic review of what should be removed.

Optimal finds the correct position

️

Under-stocking — Production Risk Unmanaged

Critical spare parts not held locally create extended repair lead times when failure occurs. A single missing bearing on a critical pump can cause days of production loss worth multiples of what the part costs to stock. Long-lead items for critical equipment with no insurance spare are an unquantified and unmanaged production risk.

Why Spares Portfolios Drift Out of Control

Storerooms grow.
Governance does not.

Spares inventories in asset-intensive operations almost universally grow over time and almost never shrink without deliberate intervention. Every incident generates a corrective action to stock a part that was not held. Every project adds new equipment with associated initial spare parts. Every equipment change leaves orphaned spares for assets that no longer exist.

Meanwhile, the items that are actually critical — the single spare for a long-lead compressor seal, the insurance pump for a critical duty circuit — may not be stocked at all because no systematic criticality-led analysis has ever been done to identify them. The result is a storeroom that is simultaneously overstocked on low-value, low-risk items and dangerously under-protected on the failure modes that actually drive production loss.

20–40%

Typical reduction in storeroom value achieved through structured spares optimisation without reducing service levels on critical items

60%+

Proportion of line items in a typical industrial storeroom that are slow-moving — turning less than once per year — before optimisation

Days

Typical production loss duration when a critical part is unavailable locally and must be sourced on an emergency basis — compared to hours with a held spare

No criticality classification linked to spare parts holdingsMost storeroom item classifications — A, B, C or similar — reflect value or usage frequency, not the consequence of failure when the item is unavailable. A cheap bearing for a safety-critical pump may be classified as a low-value C-item despite being essential. Without consequence-based classification, stock holding decisions are disconnected from operational risk.

Reorder points set on cost, not lead time and criticalityReorder points in most CMMS systems are set historically or arbitrarily — not calculated from lead time, failure rate and consequence. The result is items run to zero before replenishment for some categories, while others carry excessive buffer stock that never depletes.

No governance mechanism for disposal of excess and obsolete stockEven organisations that do a one-time spares review find the benefits erode within two to three years without a governance mechanism that prevents re-accumulation. Without a standing review process and a clear policy for excess and obsolete disposal, the storeroom reverts to its previous state.

CMMS item master quality prevents reliable stock managementDuplicate items, inconsistent descriptions, missing technical specifications and incorrect unit of measure definitions make it impossible to manage a storeroom reliably from the CMMS. Catalogue quality is typically the first barrier to effective spares optimisation and must be addressed as part of the programme.

Insurance spares for long-lead critical equipment not formally identifiedInsurance spares — held against low-frequency, high-consequence failures on assets with long manufacturer lead times — are often not formally identified or reviewed. Organisations discover the gap at the worst possible moment: when the equipment has failed and the replacement lead time is measured in months.

The Optimal Classification Framework

Consequence-led classification.
Every item. Every site.

Optimal's spares optimisation framework classifies every storeroom item against two axes — asset criticality and part replaceability — to determine the correct stock holding policy. The output is a documented stock policy per item that is traceable, defensible and directly connected to the RCM-based criticality register.

Tier 01

Insurance Spare

Safety-critical or production-critical asset. Long lead time. Failure consequence is severe. Hold a dedicated insurance spare regardless of usage frequency.

Always stock

Tier 01

Critical · High Consequence

Production-critical asset. Failure causes significant downtime. Part is not rapidly available locally.

Consequence-based

Tier 01

Long Lead · Unique Specification

OEM lead time exceeds acceptable production loss tolerance. Non-standard specification — cannot source from secondary suppliers.

Lead time model

Tier 01

Minimum + Safety Buffer

Minimum holding quantity based on failure rate. Safety buffer based on lead time and consequence. Reviewed annually against actual usage and asset reliability trend.

Quantified

Tier 02

Operational Spare

Operationally significant asset. Part required for planned and unplanned maintenance. Manageable lead time but local stock reduces planned downtime duration.

Stock — run rate

Tier 02

Significant · Recoverable

Asset failure causes production impact but not catastrophic. Part sourcing lead time is manageable within production loss tolerance — with local stock providing cost and time advantage.

Cost-benefit

Tier 02

Standard Specification

Commercially available from multiple suppliers. Lead time is predictable. Emergency sourcing possible but costly. Local stock held to manage planned maintenance frequency.

Usage-based

Tier 02

Reorder Point + Min/Max

Reorder point calculated from lead time and average usage. Min/max band set from EOQ model and storage cost. CMMS reorder triggers configured and tested.

EOQ modelled

Tier 03

Consumable / Standard

Non-critical asset or easily replaceable standard part. Failure consequence is low. Emergency sourcing is rapid. Stock held for convenience and planned maintenance efficiency only.

Low-level stock

Tier 03

Non-Critical · Tolerable

Asset failure has negligible production, safety or environmental impact. Tolerable downtime while part is sourced. Stocking is a cost decision rather than a risk decision.

Convenience

Tier 03

Commodity — Rapid Source

Available from local distributor or online. Lead time measured in hours or days. No competitive advantage to holding large quantities. Managed on low-volume run rate.

Run rate

Tier 03

Minimal stock or non-stock

Minimal holding quantity or non-stock (order on demand). Routine replenishment only. Candidates for supplier-managed inventory or direct delivery to point of use.

Minimal / non-stock

Tier 04

Non-Stock / Dispose

Asset no longer exists, part has no current application, item exceeds shelf life or has been superseded. Recommend disposal or return to supplier. Remove from CMMS item master.

Dispose

Tier 04

Obsolete / Orphaned

Equipment decommissioned or replaced. Part has no remaining application on site. Holding represents cost with no possible benefit. Disposal generates cash recovery or write-off.

Zero consequence

Tier 04

Excess Stock

Current holdings exceed calculated maximum. No reasonable forecast of consumption within holding policy. Retain minimum per policy, dispose excess through secondary market, return or write off.

Excess

Tier 04

Zero / Dispose

Remove from active stock. Dispose via secondary market, internal transfer, return to supplier, or write off. Update CMMS. Prevent re-ordering through item master status change.

Action required

How Optimal Delivers

Five phases from
catalogue to governed strategy

Optimal's spares optimisation programme follows a structured five-phase process — from CMMS data extraction and catalogue quality assessment through criticality linkage and classification to stock policy setting, CMMS configuration and governance handover.

Data Extraction & Catalogue Assessment

Extract complete item master and transaction history from the CMMS. Assess catalogue quality — duplicates, missing attributes, incorrect units of measure, unmapped items. Produce a data quality report and cleansing scope before any classification work begins. Poor catalogue quality is addressed first; classification of a dirty catalogue produces unreliable outputs.

Catalogue Cleansing & Enrichment

Cleanse and enrich the item master — de-duplicate, standardise descriptions, add missing technical attributes (manufacturer, part number, specification), assign commodity codes and map items to the asset register. Enrichment connects each spare to the asset it supports — the prerequisite for criticality-led classification. Output loaded back into CMMS with full audit trail.

Criticality Linkage & Classification

Link each storeroom item to its parent asset using the enriched item master and asset register. Apply the consequence-led classification framework — Tier 1 Insurance through Tier 4 Dispose — using asset criticality ratings from the RCM-based criticality register and part-level lead time, replaceability and usage analysis. Workshop-validated with engineering and operations SMEs.

Stock Policy & Quantity Modelling

Set stock holding policy per item — stock, non-stock, insurance, dispose. Calculate reorder point and reorder quantity for stocked items using lead time, usage rate and consequence-weighted safety stock model. Identify excess and obsolete items with recommended disposal actions. Model working capital release and risk profile of proposed versus current holdings.

CMMS Configuration & Governance Handover

Upload optimised stock policies, reorder points and quantities to CMMS. Configure reorder triggers. Deliver storeroom team training on the new policy and review process. Establish annual review governance — standing review cycle, disposal authority levels, new item classification process. Governance framework prevents re-accumulation without ongoing Optimal involvement.

Spares and inventory management in industrial operations

The RCM Connection

Criticality from
the FMECA — not guesswork.

Spares classification is only as good as the criticality data it is built on. A generic ABC inventory classification uses value and usage frequency as proxies for criticality — but a cheap bearing on a safety-critical pump and an expensive bearing on a non-critical fan will receive the same treatment. That is the wrong answer for both.

Optimal's spares optimisation integrates directly with the RCM-based criticality register from the ARaaS® Toolbox — using documented failure mode consequence classifications to inform spare part holding decisions. Every insurance spare decision is traceable to the failure mode that justifies it. Every non-stock decision is traceable to the consequence analysis that makes it defensible.

Asset criticality from RCM FMECA — not ABC value classification →

Failure mode consequence drives insurance spare identification →

P-F interval analysis informs run-to-failure vs. stock decisions →

Every stock policy decision documented and auditable →

ISO 55001 Clause 7 — resource management — evidenced through documented spares strategy →

RCM Studies

Programme Deliverables

What you receive
at programme completion

D01

Catalogue Quality Report & Cleansed Item Master

Documented assessment of pre-cleansing catalogue quality — duplication rate, attribute completeness, mapping coverage. Fully cleansed and enriched item master uploaded to CMMS with full audit trail of changes made, items merged, descriptions standardised and new attributes added.

D02

Criticality-Linked Classification Register

Complete classification register per storeroom item — Tier 1 through Tier 4, with documented rationale linking each classification to asset criticality, lead time, replaceability and consequence analysis. The governing reference document for all stock policy decisions. Maintained as a living document with version control.

D03

Optimised Stock Policy & Quantity Schedule

Per-item stock holding policy — stock, non-stock, insurance or dispose. Optimised reorder points and quantities for all stocked items, calculated from lead time, usage rate and consequence-weighted safety stock model. Modelled working capital release from proposed versus current holdings, by item and in aggregate.

D04

Excess, Obsolete & Disposal Register

Itemised register of excess stock (holdings above recommended maximum), obsolete items (no current asset application) and orphaned spares (equipment decommissioned). Recommended disposal route per item — secondary market, internal transfer, return to supplier or write-off. Estimated cash recovery and write-off values.

D05

CMMS Configuration & Insurance Spare Register

Updated CMMS reorder points, quantities and stock policies for all items. Formal Insurance Spare Register — documented holdings of spares held against low-frequency, high-consequence failure modes, with the failure mode justification, current condition and replacement lead time for each item. Reviewed annually as part of governance cycle.

D06

Governance Framework & Annual Review Process

Standing governance framework for the spares strategy — annual review trigger conditions, new item classification process, disposal authority levels and exception escalation procedure. Storeroom team trained on classification methodology. Governance prevents re-accumulation without requiring ongoing Optimal involvement after handover.

Evidence of Delivery

Spares optimisation
in practice

All case studies

Case studies below are anonymised. Client consent is required before specific project details are attributed publicly. Contact us to arrange reference calls.

Mining · Processing Plant · Southern Africa

Global Mining Group — Storeroom Optimisation Programme

Open-pit mining group with storeroom holdings of approximately £14M across six processing sites. No criticality-based classification in place — holdings had grown through project phase with no systematic review post-commissioning. High proportion of slow-moving items. Critical rotating plant spare parts not formally identified as insurance spares. ISO 55001 certification objective required documented materials management strategy.

£14M

Storeroom value rationalised — Tier 4 disposal recommendations across six sites, including excess stock return, obsolete item write-off and secondary market disposal of discontinued equipment spares

28%

Net reduction in storeroom value achieved through optimisation — without reducing service levels on Tier 1 insurance and critical operational items, which were in some cases increased

Oil & Gas · Offshore FPSO · West Africa

Major Offshore Operator — Insurance Spare Identification & CMMS Catalogue Programme

FPSO operator with a storeroom catalogue of over 12,000 line items, significant duplication, inconsistent descriptions and no mapping to the asset register. Critical rotating equipment — gas turbines, compressors, HP pumps — had no formally documented insurance spare holdings. OEM lead times for critical items ranged from 16 to 40 weeks. A single unplanned outage on a critical gas compression train was quantified at over $500K per day production loss.

12,400

Line items assessed and classified — catalogue reduced to 9,200 unique items after de-duplication and merging, with all items mapped to asset register and enriched with manufacturer and part number data

Insurance

Formal insurance spare register established for all primary rotating equipment — identifying 47 insurance spare holdings required, 12 of which were not held and were immediately procured based on OEM lead time and consequence analysis

Power Generation · Energy Recovery · UK

Energy Recovery Facility Portfolio — Post-ARaaS Spares Programme

Eight-site ERF portfolio following completion of the initial ARaaS® programme phase. Storerooms had been managed independently per site with no common classification methodology. Significant duplication across sites for common equipment. Insurance spares held on some sites but not others for identical equipment. Board requirement to demonstrate materials management governance for ISO 55001 certification.

8 sites

Common classification methodology applied across all eight facilities — shared insurance spare register for identical equipment across sites, enabling inter-site spare pooling to reduce total insurance spare investment

ISO 55001

Spares governance framework accepted as evidence for ISO 55001 Clause 7 resource management — materials strategy documented, classified and governed in compliance with certification requirements

FMCG · Manufacturing · Europe

Fast-Moving Consumer Goods Manufacturer — Catalogue Cleanse & Optimisation

FMCG manufacturer with production lines across three sites. Storeroom catalogue had not been reviewed in over seven years. Significant proportion of items related to packaging lines and filling equipment that had been replaced in a capital programme four years prior — spares for decommissioned equipment still held and still valued on the balance sheet. OEE improvement programme required a validated spares strategy to support planned maintenance execution.

€2.1M

Write-off and disposal value identified — obsolete spares for decommissioned packaging lines accounting for the majority, with balance comprising excess stock for low-criticality consumable items

OEE

Spares strategy aligned to the OEE improvement programme — critical line spares classified and holding quantities increased for the bottleneck workstations identified in the production analysis, reducing planned maintenance duration

Multi-Site Operations

One methodology.
Multiple sites.
Shared intelligence.

For organisations with multiple sites operating similar or identical equipment, spares optimisation creates an additional opportunity: inter-site spare pooling. When the same insurance spare is required at four sites, the total holding does not need to be four units — a pooling arrangement with clear transfer protocols can reduce the total investment while maintaining the required availability. Optimal structures this analysis as part of multi-site programmes, identifying pooling candidates and establishing the governance that makes pooling operationally practical.

Common classification methodology applied consistently across all sites

Insurance spare pooling candidates identified where equipment is identical or interchangeable

Transfer protocols and governance established for inter-site spare movements

Shared item master with site-specific stock holding policies

Consolidated reporting across sites — total portfolio visibility for management

Discuss Multi-Site Scope All Services →

Related Services

Services that work
alongside Spares Optimisation

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GARPI™ — Global Asset Reliability & Performance Index

How does your spares strategy
compare globally?

GARPI™ Dimension 7 — Spares & Materials Management — measures whether your organisation has a criticality-based classification methodology, a documented insurance spare register, a formal review process to prevent re-accumulation and a materials strategy integrated with the maintenance plan. Take the free GARPI™ survey to benchmark your current position against global peers in your sector.

Take the Free Survey Discuss your results

Dim 1

Asset Performance Outcomes

Dim 2

Reliability Governance

Dim 3

Maintenance Strategy & Execution

Dim 4

Data & Digital Capability

Dim 5

Lifecycle Value & Financial Alignment

Dim 6

Workforce Capability & Knowledge

Dim 7 — Focus

Spares & Materials Management

Dim 8

Strategic Outlook

Next Steps

Ready to turn your storeroom
from cost to strategy?

Whether you need a full multi-site spares optimisation programme, a targeted insurance spare review for critical rotating equipment, or a catalogue cleanse and CMMS enrichment as the foundation for a wider materials management improvement — Optimal has delivered all three across oil & gas, nuclear, mining, power, FMCG and transport operations globally.

Start with a discovery conversation. We will understand your current CMMS, storeroom scale, priority asset classes and the operational context that should drive the classification methodology before any work begins.

Book a Discovery Call GARPI™ Survey — Dim 7

Global Enquiries

enquiries@optimal.world
optimal.world/contact-us

Credentials

ISO 9001:2015 certified · IAM Member 1035342
ISO 55001 advisory · GFMAM aligned methodology

Practice Area

Advisory & Optimisation — part of the Asset Reliability

The right part.The right place.The right quantity.

Every storeroom sits betweentwo failure modes

Storerooms grow.Governance does not.

Consequence-led classification.Every item. Every site.

Five phases fromcatalogue to governed strategy

Criticality fromthe FMECA — not guesswork.

What you receiveat programme completion

Spares optimisationin practice

One methodology.Multiple sites.Shared intelligence.

Services that workalongside Spares Optimisation

How does your spares strategycompare globally?

Ready to turn your storeroomfrom cost to strategy?

The right part.
The right place.
The right quantity.

Every storeroom sits between
two failure modes

Storerooms grow.
Governance does not.

Consequence-led classification.
Every item. Every site.

Five phases from
catalogue to governed strategy

Criticality from
the FMECA — not guesswork.

What you receive
at programme completion

Spares optimisation
in practice

One methodology.
Multiple sites.
Shared intelligence.

Services that work
alongside Spares Optimisation

How does your spares strategy
compare globally?

Ready to turn your storeroom
from cost to strategy?