Optimal delivers RCM-based maintenance strategy, ISO 55001 advisory and structured asset performance programmes for mining operators across open-pit, underground and processing environments — from a single commodity site to multi-country portfolio deployments.
Mining operations are among the most asset-intensive environments on earth. The equipment base spans primary extraction, haulage, crushing, milling, separation and tailings — each system interdependent, each failure carrying production, safety and environmental consequence.
The challenge is not equipment availability in isolation. It is the integration of maintenance strategy, asset data, workforce capability and operational planning into a coherent system that compounds performance improvements year on year — across multiple sites, commodities and geographies.
How ARaaS® solves thisOptimal's approach to mining asset performance is grounded in one principle: you cannot optimise what is not structured. Before predictive analytics, before digital dashboards, before any tooling — asset hierarchies must be right, failure modes must be documented, and maintenance strategies must be defensible at site and portfolio level.
The ARaaS® framework provides exactly that structure — then compounds it. Each engagement builds on the last, progressively improving asset data quality, maintenance strategy precision and portfolio reliability across your operation.
"In mining, availability is production. Every percentage point of unplanned downtime is ore not extracted, revenue not captured, and cost incurred twice — once to fix the failure, and once in lost throughput."
Optimal · Mining Asset Performance PracticeMining assets don't stand still — and neither should your asset management programme. The ARaaS® framework is designed for continuous improvement: it begins with a structured assessment and baseline, then builds a programme that compounds reliability gains year on year across your portfolio. It scales from a single-site intervention to a full multi-commodity deployment.
Optimal's full mining capability — from strategic asset management planning through to predictive maintenance deployment and spares optimisation.
Optimal has delivered asset performance programmes for mining operators across Africa, Australia, the Americas and Europe — spanning open-pit and underground operations across multiple commodities and geographies.
Detailed case studies below are anonymised in line with Optimal's client confidentiality policy. Client consent is required before specific project details are attributed publicly. Contact us to arrange reference calls with relevant operators.
A global mining group required structured maintenance strategy across its full South African commodity portfolio. Excessive unplanned downtime and inconsistent maintenance practices across open-pit and underground operations were driving availability losses and high reactive maintenance cost across every commodity group.
Large-scale open-pit mining operation with no formal asset management system in place. Corporate board required ISO 55001 certification within 24 months — no structured baseline existed and site-level maintenance practice was largely reactive and undocumented.
Mining group operating fragmented CMMS data across multiple SAP PM instances — inconsistent asset tagging, no common functional location structure, and work order quality insufficient for reliability analysis. Cross-site performance benchmarking was entirely unviable.
Underground operation with a bloated spares inventory — high carrying costs from slow-moving and obsolete stock, while critical spare parts gaps were causing extended MTTR during major equipment failures. No criticality-led procurement policy in place to distinguish between insurance, operational and consumable stock.
High-value crushing, milling and conveyor systems with no condition monitoring programme. Recurring unplanned failures on critical rotating equipment were causing significant production losses. Maintenance planning was reactive and calendar-driven with no failure data to support task rationalisation or prediction.
Mining operations generate enormous volumes of equipment data — process historians, vibration datasets, oil analysis records, work order histories. The operations that convert this data into production advantage are those with the analytical capability to detect failure signatures before they escalate to shutdowns.
Optimal deploys predictive and prescriptive maintenance programmes across surface and underground mining infrastructure, integrating with OSIsoft PI, SAP PM, Pronto and site-specific CMMS environments to deliver actionable intelligence directly to your maintenance teams.
GARPI™ is the first independent, ISO 55001-aligned benchmark of asset performance management maturity. For mining operators, it provides a structured view across eight reliability dimensions — from maintenance strategy maturity and data quality to workforce capability and lifecycle value. Take the six-minute survey and receive a personalised benchmark report with your composite score, dimension breakdown and peer comparison.