Reliability Centered Maintenance Implementation Training Course

Duration 10 days 18 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Reliability Engineers, Maintenance Managers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-ME-124

Before you join: Participants should have practical familiarity with maintenance operations, equipment systems, work orders or asset management processes.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Reliability Centered Maintenance (RCM) provides a disciplined way to decide what maintenance should be performed, on which assets, at what interval, and for what reason. Many maintenance programmes contain inherited preventive tasks that consume labour and spares without controlling the failures that matter most. Others rely too heavily on reactive repair, exposing operations to production loss, safety incidents, quality failures and avoidable lifecycle cost. RCM addresses these problems by linking asset functions, failure modes, consequences and maintenance decisions.

This course teaches participants to lead and support an RCM implementation using the SAE JA1011 evaluation criteria and SAE JA1012 guidance. Participants define system boundaries, document functions and functional failures, analyse failure modes and effects, assess failure consequences, and apply structured task-selection logic. The course also covers failure data quality, criticality analysis, condition-based maintenance, age-replacement decisions, failure-finding tasks, run-to-failure decisions, work management integration and performance measurement.

Teaching combines short technical briefings with facilitator-led analysis of realistic asset cases from process plants, utilities, transport systems and facilities operations. Participants work through RCM worksheets, failure mode analysis, maintenance task decisions and implementation plans, then test their choices against cost, risk, operational and regulatory constraints. Each participant leaves with a completed RCM analysis pack and a practical implementation roadmap that can be adapted for a priority asset system.

The course is suited to maintenance and reliability professionals who need to improve maintenance strategies, reduce recurring equipment failures or establish a defensible basis for preventive maintenance programmes.

What you will be able to do

  • Define asset functions, performance standards and functional failures using RCM analysis worksheets
  • Conduct failure modes and effects analysis for a selected asset system
  • Apply SAE JA1011 task-selection logic to failure consequences and maintenance options
  • Select condition-based, restoration, replacement, failure-finding or run-to-failure tasks
  • Develop criticality rankings using safety, environmental, production and cost consequences
  • Set maintenance task intervals using failure characteristics, condition data and operating context
  • Build an RCM implementation plan covering data, governance, CMMS configuration and assurance
  • Present a complete RCM analysis and maintenance strategy for a priority asset system

Benefits of attending

For you

  • Lead structured RCM workshops with operations, maintenance and engineering stakeholders
  • Replace inherited maintenance tasks with justified failure-management decisions
  • Explain maintenance strategy choices using clear failure consequence logic
  • Build credible business cases for condition monitoring and maintenance improvements
  • Produce RCM records suitable for technical review and CMMS implementation

For your organisation

  • Reduced recurring failures through maintenance tasks matched to credible failure modes
  • Better availability of production-critical, safety-critical and service-critical assets
  • Lower maintenance waste from unnecessary time-based inspections and replacements
  • Clearer audit trail for maintenance decisions, risk acceptance and task deferrals
  • Improved CMMS maintenance plans, job plans, task intervals and failure coding

Course modules

18 modules over 10 days

Participants can explain RCM principles, scope and conformance requirements for an implementation.

  • RCM purpose: preserving asset functions rather than maintaining equipment condition
  • SAE JA1011 evaluation criteria for a valid RCM process
  • SAE JA1012 guidance for applying RCM concepts consistently
  • Maintenance policy types: corrective, preventive, predictive and failure-finding
  • Relationship between RCM, asset management and maintenance work management
  • Screening candidate systems by risk, downtime, cost and failure history

Participants can define the governance, scope, data and team arrangements for an RCM study.

  • RCM charter defining objectives, boundaries, decisions and expected deliverables
  • Select cross-functional team members with operational and technical authority
  • System boundary diagrams showing inputs, outputs, interfaces and exclusions
  • Asset hierarchy alignment between engineering records and CMMS equipment structures
  • Information requirements: drawings, manuals, work orders, alarms and process data
  • Facilitator, scribe and technical authority roles during RCM sessions

Participants can document operating context and measurable asset functions for an RCM analysis.

  • Operating context captured through duty cycle, environment and demand profile
  • Primary functions stated with measurable performance standards and tolerances
  • Secondary functions covering containment, protection, control and information
  • Define hidden functions whose failure remains undiscovered during normal operation
  • Performance standards linked to production, quality, safety and service requirements
  • Functional block diagrams connecting equipment items to required system outputs

Participants can identify functional failures and credible failure modes without confusing symptoms and causes.

  • Functional failures expressed as complete loss or degraded performance
  • Failure modes recorded at an appropriate level of technical specificity
  • Distinguish failure cause, failure mode, failure mechanism and observable symptom
  • Use work-order history to validate recurring failure mode assumptions
  • Human error modes considered within operating and maintenance tasks
  • Failure mode wording aligned with ISO 14224 failure taxonomy

Participants can describe failure effects in sufficient detail to support consequence evaluation.

  • Failure effects describe what happens after each failure mode occurs
  • Record local effects, system effects and evidence available to operators
  • Sequence protective devices, alarms, trips and standby equipment responses
  • Estimate outage duration including detection, diagnosis, repair and restart
  • Identify collateral damage caused by continued operation after failure
  • Document existing maintenance tasks and their actual failure-control purpose

Participants can classify failure consequences and prioritise analysis effort using risk-based criteria.

  • Hidden failure consequences assessed through multiple failure combinations
  • Safety consequences evaluated against credible harm and exposure pathways
  • Environmental consequences assessed against release, permit and remediation impacts
  • Operational consequences quantified through lost output, quality and service disruption
  • Non-operational consequences measured through direct repair and replacement costs
  • Criticality matrices calibrated with consequence definitions and likelihood bands

Participants can apply structured RCM decision logic to select technically feasible maintenance actions.

  • Decision logic begins with hidden, safety, environmental and operational consequences
  • Technical feasibility tests determine whether proactive tasks can prevent failure
  • Potential failure identification supports condition-based task selection decisions
  • Failure-finding tasks test protective functions with hidden failure consequences
  • Default actions selected when no proactive task is technically feasible
  • Document task decisions, rationale, assumptions and residual risk acceptance

Participants can specify condition-based maintenance tasks with meaningful warning intervals and response actions.

  • P-F interval defines time between potential and functional failure
  • Condition indicators selected for relevance, detectability and failure progression
  • Vibration analysis applied to imbalance, misalignment, looseness and bearing defects
  • Lubricant analysis identifies contamination, wear debris and lubricant degradation
  • Thermography detects electrical resistance, insulation deterioration and mechanical friction
  • Inspection routes specify method, interval, alert limit and corrective response

Participants can select restoration and replacement tasks based on age-related failure evidence.

  • Age-reliability patterns distinguish wear-out failures from random failure behaviour
  • Restoration tasks restore resistance to an identifiable age-related failure mode
  • Scheduled replacement eliminates components before established wear-out exposure
  • Weibull analysis estimates characteristic life, shape parameter and failure probability
  • Task intervals balance failure risk, intervention cost and production windows
  • Overhaul-induced failures considered before prescribing intrusive maintenance tasks

Participants can develop failure-finding tasks for hidden protective and standby functions.

  • Hidden functions include trips, interlocks, relief devices and standby equipment
  • Failure-finding intervals determined from allowable unavailability and consequence severity
  • Proof tests verify protective function response, setpoint and restoration requirements
  • Test coverage limitations recorded for partial stroke and functional testing
  • Protective device bypass controls prevent unplanned exposure during testing
  • Document test acceptance criteria, evidence and corrective action requirements

Participants can justify run-to-failure decisions and specify appropriate default actions.

  • Run-to-failure decisions require acceptable safety, environmental and operational consequences
  • Economic analysis compares planned task cost with corrective failure cost
  • Design modification considered when repeated failure remains unacceptable
  • One-time changes address installation errors, design defects and operating practices
  • Redundancy options assessed for risk reduction, maintainability and common-cause failures
  • Spare parts strategy supports approved corrective maintenance response times

Participants can convert RCM decisions into clear, executable maintenance task specifications.

  • Task statements specify action, asset, method, standard and acceptance criteria
  • Job plans identify labour skills, tools, permits and material requirements
  • Inspection standards define observable conditions, limits and escalation triggers
  • Maintenance intervals assigned by calendar time, runtime, cycles or condition
  • Route-based tasks grouped without compromising required inspection timing
  • Precision maintenance requirements include alignment, torque, cleanliness and lubrication controls

Participants can translate approved RCM outputs into controlled CMMS maintenance plans and records.

  • CMMS asset records reflect approved system boundaries and equipment hierarchy
  • Preventive maintenance plans contain task steps, frequencies and triggering rules
  • Failure codes capture component, failure mode, cause and remedy
  • Job plan libraries control standard work, safety instructions and quality checks
  • Work order feedback fields support task review and failure data improvement
  • Change control protects approved maintenance strategies from undocumented alterations

Participants can use maintenance and operational data to validate RCM assumptions and priorities.

  • Data quality review checks completeness, consistency, coding and timestamp accuracy
  • Pareto analysis identifies dominant downtime, cost and repeat failure contributors
  • Mean time between failures measured with clear population and exposure definitions
  • Mean time to repair separates active repair time from logistical delay
  • Bad actor analysis prioritises assets with chronic operational or maintenance impact
  • Trend charts test whether maintenance changes improve failure performance

Participants can facilitate focused RCM sessions and manage technical disagreement constructively.

  • Facilitation agenda maintains progression from functions through task decisions
  • Evidence hierarchy separates field data, engineering judgement and unsupported opinion
  • Challenge assumptions using failure evidence, drawings and operating experience
  • Consensus rules define when technical authority must resolve disagreement
  • Scribe discipline preserves traceability between worksheets and task recommendations
  • Quality assurance reviews completed RCM records against SAE JA1011 criteria

Participants can plan phased RCM deployment, stakeholder adoption and governance controls.

  • Implementation roadmap sequences pilot systems, review gates and deployment waves
  • Benefits cases quantify labour changes, downtime reduction and avoided risk
  • Stakeholder mapping identifies operators, maintainers, planners and approvers
  • Training plans address new inspection methods, standards and work instructions
  • Management of change controls approve maintenance strategy and interval revisions
  • Governance forums review overdue actions, residual risks and implementation progress

Participants can establish measures and review cycles that keep RCM strategies effective after implementation.

  • Leading indicators track task compliance, defect identification and overdue work
  • Lagging indicators measure functional failures, downtime and consequence events
  • Maintenance effectiveness review tests whether tasks detect or prevent failures
  • Interval optimisation uses inspection findings, failure history and task performance
  • RCM living programme triggers review after incidents, modifications and demand changes
  • Audit checklists test data traceability, task quality and decision conformance

Participants can build, review and present a complete RCM analysis and implementation plan for a priority asset system.

  • Define system boundaries, operating context, functions and performance standards
  • Analyse functional failures, failure modes, effects and consequence classifications
  • Apply RCM decision logic to select justified maintenance actions
  • Draft CMMS-ready task specifications, intervals and acceptance criteria
  • Prepare implementation roadmap, governance controls, measures and resource requirements
  • Present analysis findings and defend decisions during technical peer review

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. RCM project charter template
  2. System boundary and functional analysis worksheet
  3. Failure modes, effects and consequences analysis template
  4. RCM task-selection decision record
  5. CMMS-ready maintenance task specification
  6. Phased RCM implementation roadmap

Who should attend

  • Reliability Engineers — need to develop evidence-based maintenance strategies for critical assets
  • Maintenance Managers — need to improve maintenance effectiveness, cost control and asset availability
  • Maintenance Planners — need to translate RCM decisions into executable CMMS maintenance plans
  • Asset Managers — need to align asset risk, lifecycle cost and maintenance investment decisions
  • Operations Supervisors — need to define functional requirements and consequences of equipment failure
  • Engineering Managers — need to govern maintenance strategy changes across plants or asset portfolios

Skills and tools covered

RCM facilitationFailure mode analysisMaintenance task selectionAsset criticality analysisCondition monitoring designMaintenance strategy governance

Tools and standards

SAE JA1011, SAE JA1012, ISO 14224, Failure Modes and Effects Analysis

How the course runs

Training methodology

The course uses short instructor briefings followed by guided RCM analysis of realistic equipment cases. Participants work in groups to define functions, identify failure modes, assess consequences and select maintenance tasks using decision logic. Case material includes rotating equipment, electrical distribution, process systems and facility assets. Simulations test how task choices change under production, safety, budget and resource constraints. Facilitators provide structured feedback on worksheets, assumptions and implementation plans, with time reserved for applying methods to participants' own asset contexts.

Requirements and prerequisites

Participants should have practical familiarity with maintenance operations, equipment systems, work orders or asset management processes. They should understand common maintenance terms such as preventive maintenance, corrective maintenance, inspection, overhaul and downtime. Experience with a CMMS, EAM system, maintenance planning or engineering analysis is useful but not essential. No prior RCM certification, advanced statistics, specialist vibration-analysis qualification or formal facilitation experience is required. Participants will gain more from the course if they bring knowledge of one asset system they may analyse after the programme.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should understand basic maintenance operations, equipment systems or maintenance planning. Prior RCM training is not required, and the course explains the analysis sequence before applying it to cases.

Bring details of an asset system you know well, such as equipment lists, recurring failure issues, maintenance plans or work-order extracts. These materials are optional, but they help you relate course methods to a real workplace priority.

It is designed for reliability engineers, maintenance managers, planners, asset managers, operations supervisors and engineering managers. Participants should be involved in maintenance strategy, asset performance or equipment reliability decisions.

Predictive maintenance courses focus on diagnostic technologies such as vibration analysis, thermography or lubricant analysis. This course teaches the decision process for determining when those techniques are justified, alongside restoration, replacement, failure-finding and run-to-failure options.

You can use the templates to select a pilot asset system, convene an RCM team and document functions, failure modes and task decisions. The implementation roadmap supports CMMS updates, task reviews and management approval.

The first part establishes RCM scope, functional analysis, failure analysis and task-selection logic. The later sessions cover task design, CMMS implementation, data analysis, governance and a capstone RCM analysis presented for peer review.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.