10. Improvement
10.1 Continual Improvement
Improvement runs across all three layers — the assets themselves, the practice of managing them, and the system that holds it together. The aim is sustained value, not certificate retention. A system that is suitable today drifts out of step with the business unless it is actively reshaped.
Asset Management Improvement Focus Areas
Asset Performance
Optimizing asset reliability, availability and efficiency
Asset Management
Enhancing processes, procedures and practices
Asset Management System
Improving system framework and integration
Value Delivery
Maximizing organizational value from assets
Continual Improvement Framework:
- Performance Monitoring: Systematic tracking of asset performance indicators
- Benchmarking: Comparison with industry best practices and standards
- Innovation: Adoption of new technologies and methodologies
- Stakeholder Feedback: Input from users, customers, and other interested parties
- Lessons Learned: Capture and application of organizational learning
- Value Assessment: Regular evaluation of asset contribution to organizational objectives
Plan
Identify improvement opportunities and develop strategies
Do
Implement improvement initiatives and changes
Check
Monitor and evaluate improvement effectiveness
Act
Standardize successful improvements
Value-Driven Improvement:
- Organizational Alignment: Ensure improvements support strategic objectives
- Cost-Benefit Analysis: Evaluate improvement investments against expected returns
- Risk Consideration: Balance improvement benefits with associated risks
- Stakeholder Value: Consider impact on all relevant stakeholders
- Long-term Perspective: Focus on sustainable, long-term value creation
10.2 Nonconformity and Corrective Action
Nonconformities and incidents — equipment failures, audit findings, safety events, plan slippages — trigger a defined response process. The same discipline applies whether the issue is at the asset, the asset management practice, or the system layer.
Process Overview
React
Immediate response to nonconformity/incident
Evaluate
Assess need for corrective action
Implement
Execute corrective actions
Review
Check effectiveness
Update
Modify systems as needed
Immediate Response
Control, correct, and address consequences
Root Cause Analysis
Determine causes and similar occurrences
Action Implementation
Execute appropriate corrective/preventive actions
Effectiveness Review
Verify action effectiveness
System Updates
Modify assets, management, and systems
Proportionality: The corrective or preventive action is sized to the actual or potential consequence of the nonconformity. A bearing failure in a critical pump warrants different rigour than a minor procedural lapse — and that calibration is part of the response, not a separate decision.
Detailed 5-Step Process
The five-step response — proportionate to the issue:
A
React to the nonconformity or incident — bring it under control and deal with the immediate consequences:
- Contain and correct the issue
- Manage the impact on people, environment, operations
B
Evaluate whether action is needed to remove the cause — so the issue does not recur, and does not appear in similar form elsewhere:
- Investigate what actually happened
- Identify root causes — not just immediate triggers
- Look for the same failure mode in adjacent assets, sites or processes
C
Implement the actions decided
D
Verify effectiveness — confirm the action actually closed the cause, not just the symptom
E
Update assets, asset management practice, or the system itself where the investigation shows the issue is structural, not isolated
Asset-Specific Considerations:
- Asset Performance Impact: Evaluate effects on asset reliability and availability
- Safety Implications: Consider safety risks to personnel and operations
- Financial Impact: Assess cost implications and budget effects
- Stakeholder Communication: Inform relevant parties about incidents and actions
- Learning Opportunities: Capture lessons for future asset management
- Regulatory Compliance: Ensure actions meet regulatory requirements
Proportionality in practice: A loose bolt on a non-critical guard does not warrant a full root-cause-analysis cycle; a recurring conveyor failure on the main mill output does. The response calibrates to consequence and likelihood, not to who raised the finding.
Documentation Requirements
Required documentation
Records are kept as documented information showing:
1
What the nonconformity or incident was, and what actions followed
2
The outcomes of those corrective or preventive actions — whether they worked
Documentation Best Practices:
- Incident Reports: Detailed description of asset-related incidents
- Investigation Records: Evidence collected and analysis performed
- Root Cause Analysis: Methodology used and causes identified
- Action Plans: Specific actions, responsibilities, and timelines
- Effectiveness Reviews: Follow-up assessments and verification results
- Asset Updates: Changes made to assets and asset management
- Trending Analysis: Patterns and recurring issues identification
Asset Management Records
- Asset Performance Data: Before and after incident metrics
- Maintenance Records: Related maintenance activities and outcomes
- Cost Analysis: Financial impact and cost of corrective actions
- Stakeholder Communications: Records of notifications and updates
- System Modifications: Changes to asset management system
10.3 Predictive Action
Predictive action looks ahead — processes to anticipate the asset, asset management and system decisions that will need to be made before they become reactive. This is where condition-based maintenance, RUL forecasting, regulatory horizon-scanning and capital-planning foresight live.
Process Establishment Requirements
The predictive processes are designed to:
A
Anticipate occurrences and impacts — both potential nonconformities and improvement opportunities, across assets, asset management practice and the system
B
Identify the right intervention points — when to maintain, renew, replace, or dispose of an asset to optimise lifecycle value rather than reacting after the fact
C
Establish the input data needed to:
- Link asset condition to performance, opportunity, risk and cost — so condition trends inform action, not just reporting
- Calculate depreciation and financial value consistent with the technical view
Predictive Analytics Framework:
- Data Collection: Systematic gathering of asset performance data
- Condition Monitoring: Real-time and periodic asset condition assessment
- Performance Modeling: Predictive models for asset behavior
- Risk Assessment: Future risk identification and quantification
- Cost Analysis: Financial modeling for intervention decisions
- Opportunity Identification: Recognition of improvement possibilities
Condition-Based
Asset condition monitoring and prediction
Performance-Based
Performance trend analysis and forecasting
Risk-Based
Risk probability and impact prediction
Value-Based
Financial value and cost optimization
Optimal Intervention Points:
- Maintenance: Predictive and preventive maintenance scheduling
- Renewal: Asset refurbishment and upgrade timing
- Replacement: End-of-life replacement planning
- Disposal: Asset retirement and disposal decisions
Integration and Reporting
When predictive analysis surfaces a potential nonconformity or opportunity, the response follows the same discipline as 10.2 — and the resulting actions feed back into asset management planning rather than running outside it.
1
Integration with Corrective Action Process: Apply section 10.2 requirements for potential issues
2
Asset Management Planning Integration: Incorporate predictive actions into planning processes
3
Stakeholder Reporting: Report long-term effects of predictive action decisions
Reporting on predictive outcomes: The long-term effects of predictive action decisions — how those calls actually played out on asset and asset management performance — are reported back to the relevant stakeholders. Without that loop, the predictive process never improves.
Stakeholder Reporting Elements:
- Performance Impact: Long-term effects on asset performance
- Financial Implications: Cost savings and investment returns
- Risk Mitigation: Risk reduction achieved through predictive actions
- Value Creation: Enhanced value delivery to organization
- Strategic Alignment: Contribution to organizational objectives
- Continuous Improvement: Learning and improvement outcomes
Predict
Identify future needs and opportunities
Plan
Integrate into asset management planning
Act
Implement predictive actions
Report
Communicate outcomes to stakeholders
Success Factors for Predictive Action:
- Data Quality: Reliable, accurate, and timely data collection
- Analytical Capability: Advanced analytics and modeling tools
- Cross-functional Collaboration: Integration across organizational functions
- Decision Support Systems: Tools to support predictive decision-making
- Continuous Learning: Ongoing refinement of predictive models
- Change Management: Effective implementation of predictive insights