The operating challenge
A growing backlog or maintenance budget does not explain which work creates value. We examine asset criticality, failure modes and work execution to distinguish necessary controls from low-value activity and unresolved defects.
Service offers
Maintenance-strategy review
Use criticality and failure-mode analysis to review preventive and condition-based tasks, intervals and task quality. Retain a traceable technical basis for changes.
Recurring-failure elimination
Investigate bad actors through root-cause analysis, test failure hypotheses and assign corrective actions with effectiveness checks.
Work-management and CMMS improvement
Review asset data, job plans, backlog priorities, planning interfaces and critical spares. Prepare usable task structures and coach the teams applying them.
What the domain covers
A maintenance and reliability programme connects the asset register, failure behaviour, task selection and work execution. Data quality and technical review support each step.
01Asset structure and data quality+
- Equipment hierarchy, functional locations, system boundaries and critical attributes.
- Failure modes, mechanisms, causes, detection and consequences.
- Maintenance type, resources, active repair time, downtime and data-quality checks.
02Criticality and failure analysis+
- Consequence-based prioritization for safety, environment, production and cost.
- Functional failures and failure modes using FMEA/FMECA or RCM as appropriate.
- Document assumptions, existing controls and evidence gaps.
03Maintenance strategy and task optimization+
- Select preventive, condition-based, failure-finding or corrective strategies.
- Check task applicability, effectiveness, intervals and acceptance criteria.
- Review mandatory and safety-critical requirements before changes are approved.
04Condition monitoring and diagnostics+
- Select assets, measurement methods and baseline conditions.
- Set collection routes, data review, alert criteria and diagnostic escalation.
- Translate validated findings into actionable work and monitor effectiveness.
05Defect elimination and root causes+
- Select bad actors using operating consequence and recurrence.
- Build the event timeline, test hypotheses and distinguish causes from symptoms.
- Verify corrective actions against subsequent operating experience.
06Work management and CMMS/EAM+
- Notification quality, job plans, scheduling readiness and backlog risk.
- Materials, isolation and operations interfaces; execution feedback and closure quality.
- Prepare consistent asset and task data for controlled implementation.
07Spares, repairability and shutdown interfaces+
- Critical spares, lead times, repair routes and preservation requirements.
- Maintainability constraints, access, lifting and restoration resources.
- Prioritize shutdown work using risk and opportunity, not backlog age alone.
08Performance and competence+
- Review recurrence, emergency work, overdue critical work and costs in context.
- Keep strategy changes, technical approvals and data ownership traceable.
- Coach planners, reliability engineers, technicians and supervisors in the adopted practices.
ISO 14224 supports the data basis; ISO 17359 supports condition monitoring; API RP 691 addresses risk-based machinery management. The work packages combine these references with the agreed maintenance scope.
What we work with
Asset registers, equipment documentation, failure history, PM plans, task lists, backlog and spares information.
The decision this supports
Maintenance effort directed toward failure prevention, reliable execution and lower avoidable lifecycle cost.
How progress can be measured
Repeat failures; emergency work; risk-ranked overdue work; schedule compliance; maintenance cost in operating context.
Agree the baseline, definitions and review period with the asset team. Measures are selected for the scope; they are not guaranteed results.Task removal, interval changes and deferrals require approval through the asset owner’s technical and risk-control processes.
Relevant engineering references
Applicable editions and requirements are agreed for each asset, jurisdiction and scope. These references describe the engineering basis; they do not imply ReliaEdge certification or endorsement by ISO or API.
AI support within this service
- Normalize work orders and suggest failure-mode classifications.
- Detect unusual condition-monitoring patterns for investigation.
- Draft maintenance-task rationales from approved technical sources.
Reliability specialists validate failure mechanisms, alert thresholds and maintenance changes before release.
Discuss an AI-assisted workflow