course | Maintenance Performance Analytics & Decision Making

Building Reliable Maintenance Information
 

Understanding the Maintenance of Data Landscape
 

• Identify useful data from work orders, equipment history, failures, downtime, labor, materials, and costs. 
• Distinguish data needed for daily control from information required for management decisions. 
• Recognize missing, inconsistent, and poorly classified data that can distort performance analysis. 
   

Creating Decision-Ready Measures
 

• Connect each measure with a specific maintenance question or management need. 
• Distinguish leading indicators from results that reveal performance after the event. 
• Build a Maintenance Measurement Map linking data, indicators, and management decisions. 

Reading Asset Reliability Performance
 

Interpreting Reliability Indicators
 

• Use failure frequency, MTBF, MTTR, availability, and downtime in the appropriate context. 
• Understand what changes in reliability measures may indicate about asset behavior. 
• Avoid misleading conclusions when comparing equipment with different operating conditions. 
   

Finding Reliability Patterns
 

• Identify recurring failures, high-downtime assets, and changing performance trends. 
• Separate isolated events from persistent reliability deterioration. 
• Complete an Asset Performance Analysis to identify equipment requiring management attention. 

Analyzing Maintenance Work Performance
 

Measuring Work Management Effectiveness
 

• Examine planned versus unplanned work, schedule compliance, backlog, and work completion patterns. 
• Identify signs of weak planning, excessive emergency work, or capacity constraints. 
• Interpret backlog age and composition rather than relying only on total work-order volume. 
   

Diagnosing Execution Losses
 

• Analyze delays, repeated work, waiting time, incomplete jobs, and schedule disruption. 
• Connect execution problems with planning, materials, resources, or operational access. 
• Conduct a Maintenance Performance Diagnosis using a realistic set of work-management data. 

Connecting Cost, Resources, and Performance
 

Reading Maintenance Cost in Context
 

• Analyze expenditure by asset, work type, labor, materials, and external services. 
• Compare cost changes with reliability and maintenance workload trends. 
• Distinguish productive investment from increasing expenditure caused by recurring problems. 
   

Combining Multiple Performance Signals
 

• Connect reliability, workload, cost, and resource indicators to reveal wider performance issues. 
• Identify situations where one indicator improves while overall maintenance performance deteriorates. 
• Complete a Performance Trade-Off Challenge requiring decisions based on conflicting maintenance indicators. 

Turning Analytics into Management Action
 

Designing Performance Views for Decisions
 

• Select indicators according to the needs of maintenance managers, supervisors, and reliability teams. 
• Organize information around exceptions, trends, priorities, and required action. 
• Avoid overloaded dashboards that display data without supporting decisions.
   

Leading the Maintenance Performance Review
 

• Convert performance deviations into focused questions and improvement priorities. 
• Assign actions and follow performance after interventions are implemented. 
• Produce a Maintenance Decision Dashboard & Action Brief that converts maintenance analytics into prioritized management decisions.