Introduction
The programme “Maintenance Team Management and Performance Indicator (KPI) Analysis” develops professional practice in Maintenance. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from maintenance planning, work orders, and execution measurement to data analysis and decision support, with practical work on performance measurement and continuous improvement, reliability, predictive maintenance, and failure analysis, mechanical equipment analysis and fault diagnosis. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Build a maintenance plan and work order connecting asset criticality, resources, and documentation in an application related to “Maintenance Team Management and Performance Indicator (KPI) Analysis”.
- Build performance indicators that distinguish activity completion from achievement of results.
- Analyze asset failure and condition data to define a justified warning and maintenance intervention.
- Interpret mechanical equipment performance and identify fault hypotheses and safe verification steps.
- Turn available data into documented analysis that supports a specific professional decision.
Learning areas
1. Maintenance Planning, Work Orders, and Execution Measurement
- Inventory assets and build a hierarchy, coding system, technical data, and maintenance history, classifying criticality by safety, service, and cost.
- Select a mix of preventive, condition-based, and corrective maintenance, connecting the decision to failure modes, data, and manufacturer instructions.
- Plan the work order's scope, resources, materials, time, isolation, and permits, and define readiness conditions before scheduling.
- Organize schedules, shutdowns, and equipment handovers between operations and maintenance, recording actual work, causes, parts, and time.
- Analyze backlog, recurrence, plan compliance, and reliability, and propose documented adjustments to maintenance tasks and their frequency. The application examines a case related to “Maintenance Team Management and Performance Indicator (KPI) Analysis”.
2. Performance Measurement and Continuous Improvement
- Define the intended result and its beneficiary, and distinguish indicators of inputs, activities, outputs, and impact.
- Define each indicator's formula, unit of measurement, data source, update frequency, and responsibility for collection and verification.
- Select a baseline, realistic target, and alert thresholds, and review data quality before interpreting deviations from the target.
- Analyze the causes of performance gaps and link them to corrective actions with specified owners, deadlines, resources, and closure verification methods.
- Design a review meeting covering trends, decisions, and open actions, and track improvement over more than one measurement cycle.
3. Reliability, Predictive Maintenance, and Failure Analysis
- Define the asset's function, functional failure, and usage context, and assess the effects of failure modes before selecting a maintenance task type.
- Organize fault, downtime, repair, and condition reading histories, checking the quality of timestamps, classifications, and record completeness.
- Analyze trends, vibration, temperature, or other appropriate condition indicators, linking alerts to documented thresholds and specialist technical review.
- Distinguish correlation and prediction from proof of a failure's cause, and assess false and missed alarms and warning lead time before intervention.
- Design a condition monitoring pilot for a training asset, with escalation criteria and documentation of the maintenance decision, and verify the intervention's effect on reliability.
4. Mechanical Equipment Analysis and Fault Diagnosis
- Read training equipment data and diagrams, identifying function, operating conditions, design limits, and key measurement points.
- Analyze relationships between load, flow, pressure, temperature, and vibration, and review measurement quality before interpreting performance deviations.
- Identify failure modes involving components, seals, bearings, alignment, and lubrication, and connect fault symptoms to multiple testable hypotheses.
- Select inspections and diagnostic methods suited to the condition and criticality, and refer to manufacturer instructions and isolation and permit procedures before any intervention.
- Prepare a diagnostic report showing readings, evidence, possibilities, the next verification step, and the limits of conclusions from the available data.
5. Data Analysis and Decision Support
- Frame an analytical question linked to a specific decision, and define the unit of measurement, time period, and data needed to answer it.
- Check data quality for completeness, accuracy, consistency, and duplication, and document cleaning steps and limitations on reliance.
- Select appropriate comparisons, indicators, and charts, and distinguish statistical correlation from causal explanations of results.
- Interpret results in the work context, test assumptions and unusual values, and present alternatives and their associated uncertainty.
- Prepare an analytical report containing the finding, recommendation, data source and date, review owner, and next follow-up step.
Practical outputs
- A maintenance plan, work schedule, work order card, and monitoring indicators.
- Performance indicator cards and a plan for reviewing results and improvement actions.
- A failure mode analysis, condition monitoring plan, and alert and review rules.
- An equipment profile, fault diagnosis tree, and preliminary inspection plan.
- A dashboard and decision memo explaining the data, assumptions, and alternatives.
Who should attend
- Engineers, technicians, supervisors and operations staff whose work relates to the programme subject.
- Managers and teams working in maintenance, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Maintenance Team Management and Performance Indicator (KPI) Analysis” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Maintenance Team Management and Performance Indicator (KPI) Analysis” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.