About the Course
Organizations invest in maintenance because they need results they can prove in asset availability, failure consequence control, and lifecycle cost discipline. In reliability-centred maintenance, those results must stand up to FMEA logic, the seven RCM questions, and the operational reality of maintenance execution. You need to demonstrate asset function analysis, failure mode identification, task selection, consequence evaluation, and maintainability judgement, not just general maintenance awareness.
This course turns scattered maintenance knowledge into a structured RCM system you can apply to real equipment. You will develop capability in functional block diagrams, failure modes and effects analysis, RCM decision logic, PM optimisation, condition-based maintenance selection, CMMS task structuring, criticality ranking, and implementation planning. In practical terms, you will learn how to build an RCM worksheet, complete a failure modes and effects analysis, and create a defensible maintenance task strategy for selected equipment. You will practice the core methods hands-on, while more advanced topics such as predictive analytics integration and reliability-centred maintenance governance will be introduced at operational level rather than treated as full engineering design work.
Asset-intensive operations rarely have ideal data, unlimited shutdown windows, or spare engineering capacity. You will see how to apply reliability-centred maintenance when failure history is incomplete, maintenance budgets are constrained, and production priorities compete with reliability objectives. This course is built for professionals who must deliver credible decisions under those conditions and explain them clearly to operations, engineering, and leadership stakeholders.
Target Audience
This course is designed for professionals who already work with maintenance strategy, equipment reliability, or asset performance decisions and need a sharper RCM method for real operations.
- Reliability Engineers managing functional failure analysis and task selection
- Maintenance Managers overseeing RCM reviews and maintenance strategy
- Asset Integrity Engineers linking failure consequences to maintenance controls
- Maintenance Planners building CMMS task plans from RCM outputs
- Plant Engineers evaluating equipment functions and performance standards
- Condition Monitoring Specialists interpreting inspection and predictive data
- Rotating Equipment Engineers analysing failure modes and maintenance intervals
- Production Supervisors balancing uptime needs with maintenance shutdown windows
- RCM Facilitators structuring workshops and decision logic sessions
- Operations and Maintenance Leaders reporting reliability risks to executives
Course Objectives
This course equips you to plan, execute, and measure reliability-centred maintenance initiatives that improve asset availability, control failure consequences, and strengthen maintenance governance.
- Assess equipment criticality using the RCM seven questions and FMEA logic.
- Apply functional failure analysis to identify dominant failure modes and consequences.
- Design an RCM worksheet and decision logic tree for selected assets.
- Build a maintenance task selection matrix using PM, CBM, and run-to-failure options.
- Evaluate maintenance strategies against SAE JA1011-aligned RCM criteria and risk.
- Navigate operations, maintenance, and engineering input for defensible task decisions.
- Implement CMMS-ready task structures and KPI measures such as MTBF and downtime.
- Synthesize findings into an RCM review report and implementation roadmap.
Requirements & Prerequisites
Prerequisites required: working knowledge of industrial maintenance, equipment operations, or asset management; familiarity with failure data, maintenance work orders, or maintenance planning is strongly recommended. This is an advanced course, so you should already work with plant equipment, reliability data, or maintenance strategy decisions. No coding is required. Participants should bring a laptop for spreadsheet-based exercises and be prepared to review sample CMMS extracts, failure logs, and maintenance task records.
Local Application and Business Return in Hungary
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn reliability-centred maintenance aspiration into measurable action and credible reporting.
Methodology includes:
- Calculate maintenance priority using MTBF, downtime, and criticality data from sample asset registers.
- Simulate an RCM review for a production asset under outage and budget constraints.
- Assess equipment using the SAE JA1011 seven-question logic and a failure mode checklist.
- Map operations, maintenance, and engineering approval points for an RCM recommendation workflow.
- Analyse case patterns from oil and gas, power generation, manufacturing, and mining.
- Develop an RCM worksheet and maintenance task selection matrix in workshop time.
- Challenge current PM routines against failure evidence, CMMS history, and consequence benchmarks.
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Reliability-Centred Maintenance Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Effective Learning & Skill Development
- Build expertise with structured, outcome-driven learning.
- Equip individuals and teams with skills that grow with industry needs.
- Reinforce learning through real-world scenarios, case studies and practical exercises.
Career Growth & Professional Advancement
- Apply what you learn with a proven methodology that ensures lasting impact.
- Develop immediately usable skills that translate directly into workplace success.
- Gain the expertise needed for career advancement and leadership roles.
Training Optimization & Learning Excellence
- Tailor training to industry-specific challenges and organizational goals.
- Use data-driven insights and automation to enhance training effectiveness.
- Evaluate progress and ensure long-term learning success.
