Optimal delivers structured RCM studies aligned to SAE JA1011 and IEC 60300-3-11 — the analytical process that identifies failure modes, their consequences and the optimal maintenance task to address each one. The foundation of every effective maintenance strategy in asset-intensive industry.
"A process used to determine what must be done to ensure that any physical asset continues to do what its users want it to do in its present operating context."
It starts with function, not equipment. RCM asks what the asset is required to do — not simply what it is. The maintenance strategy follows from the consequences of functional failure, not from generic OEM schedules.
Not all failures are equal. RCM classifies failure consequences — safety-critical, operationally significant, non-critical — and calibrates the maintenance response to the consequence. High-consequence assets get intensive condition-based attention. Low-consequence assets may be run to failure by design.
The output is a defensible maintenance plan. Every task selected by RCM is traceable to a documented failure mode, a consequence category and a task selection rationale. The plan is auditable, updatable and connected to real operational risk.
It is the foundation of the ARaaS® programme. Optimal's RCM studies feed directly into the ARaaS® Toolbox — the Extensive RCM-Based Library, prescriptive maintenance workflow and cost-optimised strategy modelling are all built on RCM foundations.
Most maintenance schedules in industrial operations were never subject to RCM analysis. They were built on OEM recommendations, engineering intuition and inherited practice — then accumulated tasks over years without any systematic review of whether those tasks address the actual failure modes driving unplanned downtime.
The result is a maintenance programme that is simultaneously over-specified on low-consequence assets and under-specified on the failure modes that matter. Technicians are busy. The reactive rate stays high. And the root cause — a maintenance strategy disconnected from failure mode reality — is never addressed because no one has done the analytical work to connect the two.
RCM is that analytical work. It is not a software tool or a management framework. It is a structured engineering process that, when done properly, produces a maintenance plan in which every task exists because of a specific failure mode — and every failure mode has been assessed for its consequence to safety, production, environment and cost.
RCM is structured around seven canonical questions — applied to every failure mode of every asset in scope. Together they produce a fully justified maintenance task selection for each failure mode, classified by consequence and calibrated to the physics of how that failure actually progresses.
Optimal's RCM study methodology follows a structured five-phase process — from system selection and boundary definition through facilitated FMECA sessions, task selection and plan build to implementation support and governance handover.
The most significant constraint in RCM study delivery is not methodology — it is time. A thorough RCM study requires failure mode identification across every asset in scope, facilitated with your SMEs. Without a starting point, that process is slow, inconsistent between facilitators and vulnerable to the gaps in any individual's knowledge.
Optimal's ARaaS® Toolbox includes an Extensive RCM-Based Library built from years of study delivery across asset-intensive industries — covering rotating machinery, static equipment, electrical and instrumentation, mechanical systems and civil assets. It provides a structured starting point for every FMECA session that accelerates study delivery without sacrificing the site-specific analysis that makes RCM outputs defensible.
The RCM study produces the failure mode register and task library. The ARaaS® Toolbox then takes that output further — deploying predictive analytics to monitor condition against the failure modes identified in the study, prescriptive maintenance to recommend the specific intervention when deterioration is detected, and cost-optimised modelling to continually refine task intervals as real operational data accumulates. RCM is the foundation. The Toolbox is what makes it a living, improving programme.
Case studies below are anonymised. Client consent is required before specific project details are attributed publicly. Contact us to arrange reference calls.
FPSO operator with no documented RCM basis for any maintenance task across gas turbines, compressors, pumps and utility systems. PM schedule inherited from design basis with no failure history review. High reactive rate on primary rotating plant. Requirement from asset owner for SAE JA1011-compliant RCM documentation ahead of contract renewal.
Decommissioning facility requiring RCM studies on safety-classified mechanical handling, ventilation and effluent treatment systems as part of an ONR compliance programme. No existing FMECA documentation. Maintenance strategy for safety-classified systems not traceable to documented failure mode analysis. Regulatory expectation for evidence of structured risk-based maintenance decision-making.
Open-pit mining group requiring RCM studies across primary and secondary crushing, milling and flotation circuits — all running generic OEM PM schedules with no failure mode basis. High availability losses on critical processing plant. ISO 55001 certification objective required documented evidence of structured maintenance task justification across the asset base.
Specialty chemical manufacturer operating ATEX-classified process plant requiring RCM study to support a process safety management improvement programme. Safety-critical elements — pressure relief, emergency shutdown, gas detection — had no documented FMECA. Maintenance tasks not traceable to safety case requirements. IEC 61511 functional safety review identified gaps in ESD system maintenance justification.
Both involve failure mode analysis. The distinction matters. FMEA is an analytical tool — it identifies failure modes, effects and causes. RCM is a decision process — it takes FMEA outputs and applies a structured logic to determine what, if anything, should be done about each failure mode, based on consequence and the physics of failure progression. FMEA informs. RCM decides.
GARPI™ Dimension 3 — Maintenance Strategy & Execution — specifically measures whether your maintenance tasks are justified by documented failure mode analysis, whether consequence classification is applied across the asset base and whether an annual review process exists to keep the strategy current. Take the free survey to see where your organisation sits against global peers on these criteria.