FMECA and RCM Engineering

SAS-AM delivers FMECA, RCM, and reliability engineering services that optimise maintenance strategies and reduce asset failure risk. Our data-driven approach combines traditional reliability methods with AI and machine learning to extend asset life and improve operational performance across Australian industries.

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Core services: FMECA, RCM strategy and AI enhanced reliability analytics
Task types balanced for each asset: preventive, predictive and condition based
Free tools to start with: the FMECA template generator and the strategy selector

Advanced Reliability Engineering for Asset-Intensive Industries

Our FMECA and RCM services provide a systematic, evidence-based approach to maintenance strategy development. We work with your engineering and operations teams to identify failure modes, assess their consequences, and develop targeted maintenance tasks. Our approach integrates traditional reliability engineering with predictive analytics, ensuring your maintenance program evolves with your asset performance data.

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we work hard to deliver incredible value to our clients.

Tagline

Lower Maintenance Costs

Our reliability engineering services deliver maintenance strategies that reduce unplanned failures while avoiding unnecessary interventions, achieving the right balance of cost and reliability.

Reduced Unplanned Downtime

Systematic failure analysis and targeted maintenance tasks reduce the frequency and impact of unexpected asset failures.

Lower Maintenance Costs

RCM-based strategies eliminate unnecessary preventive tasks while ensuring critical failure modes are addressed, reducing total maintenance expenditure.

Extended Asset Life

Understanding degradation mechanisms and implementing appropriate interventions extends the useful life of your assets.

Regulatory Compliance

Documented FMECA and RCM processes demonstrate due diligence in maintenance planning, supporting regulatory and safety compliance requirements.

Where theory meets execution

See how we’ve applied our ideas to generate generational changes within our comunity.

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FAQs

Learn more about what our clients ask us.

How can machine learning improve RCM and maintenance strategy?

Machine learning can analyse historical failure data to reveal degradation patterns and refine maintenance intervals as new data arrives. It adds evidence to the RCM process rather than replacing it, so the strategy keeps improving with your asset performance data.

Do we need to apply RCM to every asset?

No. RCM delivers the most value on critical assets where failure has serious safety, environmental, operational or cost consequences. A criticality assessment first shows where full analysis is worth it. Our maintenance strategy selector walks through the core decision logic.

Who should take part in an FMECA workshop?

An effective workshop brings together maintainers, operators and engineers who know the asset, with a facilitator who keeps the analysis structured. The people who work on the equipment every day hold most of the failure knowledge the analysis needs.

How do FMECA and RCM work together?

FMECA analyses how assets fail and which failures are most critical, and RCM uses that analysis to choose the maintenance tasks that manage each failure. In practice the FMECA register becomes the foundation of the RCM strategy.

What is reliability centred maintenance?

Reliability centred maintenance (RCM) is a structured process for deciding what maintenance an asset needs, based on its functions, how it can fail and the consequences of each failure. It selects the right mix of preventive, predictive, condition based and run to failure tasks. SAE JA1011 sets out the criteria an RCM process should meet.

What is the difference between FMEA and FMECA?

FMECA is an FMEA with a criticality analysis added. FMEA identifies how an asset can fail and what the effects are, while FMECA also ranks each failure mode by severity and likelihood, so effort goes to the failures that matter most. Try our free FMECA template generator.

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Edge Computing for Asset Management

SAS-AM delivers edge computing and sovereign AI solutions for asset management in remote, secure, and connectivity-constrained environments. Our NVIDIA GPU-powered platform processes asset data locally, enabling real-time predictive maintenance and analytics without cloud dependency.
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CMMS & EAM Data Quality Consulting

SAS-AM provides specialist CMMS and EAM data quality consulting across IBM Maximo, Hexagon EAM, SAP PM, and other enterprise asset management platforms. We help organisations maximise the value of their system investment through better data, smarter workflows, and analytics-ready asset hierarchies.
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Asset Data Analytics Consulting

SAS-AM provides asset management data analytics consulting that transforms raw asset data into strategic insight. We help organisations unlock the value in their maintenance, condition, and performance data through advanced analytics, visualisation, and predictive modelling.

Building your best future with FMECA and RCM Engineering

Shaping the conversations and future of nations, states and regions, we passionately guide stewards to think-well, act-smart and create life-changing impact. One asset at a time.

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