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Life Cycle in Infrastructure Asset Management

Life Cycle in Infrastructure Asset Management

$247.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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Course access is prepared after purchase and delivered via email
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What does the Life Cycle in Infrastructure Asset Management course cover?

Life Cycle in Infrastructure Asset Management is covered here in 8 modules: Strategic Asset Management Planning, Asset Inventory and Data Governance, Condition Assessment and Performance Monitoring and 5 more. The outline lists 48 specific topics, opening with establishing organizational objectives for asset performance and aligning them with regulatory and service delivery requirements.

How do you approach Life Cycle in Infrastructure Asset Management step by step?

The work is sequenced in 8 stages. It starts with Strategic Asset Management Planning, moves through Asset Inventory and Data Governance and Condition Assessment and Performance Monitoring, and ends at Change Management and Organizational Integration. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Life Cycle in Infrastructure Asset Management course?

Module 1 is Strategic Asset Management Planning. It works through establishing organizational objectives for asset performance and aligning them with regulatory and service delivery requirements., selecting appropriate asset management frameworks (e.g., ISO 55000, PAS 55) based on sector-specific compliance and governance needs., defining asset hierarchies and classification systems to support consistent data collection and reporting across departments. and 3 more.

How is the Life Cycle in Infrastructure Asset Management course delivered?

The Life Cycle in Infrastructure Asset Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Life Cycle in Infrastructure Asset Management course cost?

The Life Cycle in Infrastructure Asset Management course is $247 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Asset Life in Enterprise Asset Management Dataset, Asset Customization in Service life Dataset, Asset Depreciation in Service life Dataset, Asset Tracking in Service life Dataset.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the breadth of a multi-workshop organizational capability program, addressing the technical, governance, and integration challenges involved in aligning asset management practices across engineering, finance, and operations functions.

Module 1: Strategic Asset Management Planning

  • Establishing organizational objectives for asset performance and aligning them with regulatory and service delivery requirements.
  • Selecting appropriate asset management frameworks (e.g., ISO 55000, PAS 55) based on sector-specific compliance and governance needs.
  • Defining asset hierarchies and classification systems to support consistent data collection and reporting across departments.
  • Integrating long-term financial planning with asset renewal cycles to avoid funding shortfalls during peak replacement periods.
  • Conducting stakeholder workshops to prioritize performance metrics such as reliability, safety, and environmental impact.
  • Developing escalation protocols for decision-making when asset strategies conflict with budgetary or political constraints.

Module 2: Asset Inventory and Data Governance

  • Designing data capture standards for asset attributes including location, condition, age, and criticality across heterogeneous systems.
  • Implementing validation rules and audit schedules to maintain data integrity during manual and automated updates.
  • Resolving conflicts between GIS, CMMS, and ERP systems when asset records are duplicated or inconsistent.
  • Selecting data ownership models to assign accountability for data accuracy at the operational level.
  • Establishing retention policies for historical asset records to support lifecycle forecasting and regulatory audits.
  • Deciding on the scope of digital twin integration based on asset complexity and operational monitoring requirements.

Module 3: Condition Assessment and Performance Monitoring

  • Choosing inspection methodologies (e.g., visual, NDT, remote sensing) based on asset type, accessibility, and risk profile.
  • Calibrating condition rating scales to ensure consistency across inspectors and over time.
  • Integrating real-time sensor data with periodic inspection results to improve predictive accuracy.
  • Setting thresholds for intervention levels that balance risk mitigation with operational disruption.
  • Managing variance in performance data due to seasonal, environmental, or load-related factors.
  • Documenting assumptions and limitations in performance models to support audit and review processes.

Module 4: Risk and Criticality Analysis

  • Developing consequence-of-failure criteria that reflect safety, environmental, financial, and service continuity impacts.
  • Assigning likelihood ratings using historical failure data, expert judgment, or statistical models.
  • Updating risk registers in response to changes in asset condition, operating environment, or regulatory standards.
  • Reconciling differing risk perceptions between engineering, finance, and operational teams during review cycles.
  • Applying risk tolerance thresholds to prioritize capital and maintenance investments.
  • Designing escalation paths for high-risk assets requiring immediate intervention or operational controls.

Module 5: Lifecycle Cost Modeling and Optimization

  • Building total cost of ownership models that include acquisition, operation, maintenance, and disposal phases.
  • Selecting discount rates for future costs based on organizational financial policy and inflation assumptions.
  • Comparing rehabilitation versus replacement options using net present value and equivalent annual cost methods.
  • Adjusting cost models for uncertainty using sensitivity and scenario analysis techniques.
  • Integrating energy efficiency and carbon cost projections into lifecycle calculations for sustainability compliance.
  • Validating cost assumptions with historical work order data and vendor pricing trends.

Module 6: Maintenance and Renewal Strategy Development

  • Defining maintenance tactics (reactive, preventive, predictive, prescriptive) based on asset criticality and failure modes.
  • Setting intervals for preventive maintenance using manufacturer guidelines, operational experience, and condition trends.
  • Developing renewal sequencing plans that minimize service disruption and optimize resource allocation.
  • Managing contractor performance and quality assurance during major rehabilitation projects.
  • Balancing short-term maintenance deferrals against long-term lifecycle cost increases.
  • Implementing work execution controls to ensure adherence to approved maintenance procedures and safety standards.

Module 7: Performance Evaluation and Continuous Improvement

  • Designing KPIs that measure asset availability, reliability, cost efficiency, and risk reduction.
  • Conducting post-implementation reviews of major projects to assess outcomes against planned objectives.
  • Updating asset management plans based on performance gaps and changing operational demands.
  • Facilitating cross-functional reviews to address discrepancies between planned and actual maintenance outcomes.
  • Integrating lessons learned into updated policies, procedures, and training materials.
  • Aligning internal audit processes with asset management governance requirements to ensure compliance and accountability.

Module 8: Change Management and Organizational Integration

  • Mapping asset management processes to existing workflows to identify integration points and resistance factors.
  • Designing role-based access and training programs to support system adoption across departments.
  • Managing data ownership transitions during organizational restructuring or system migrations.
  • Establishing cross-functional steering committees to oversee asset management policy implementation.
  • Addressing cultural resistance to data-driven decision-making in traditionally operational environments.
  • Coordinating updates to asset management practices following mergers, acquisitions, or regulatory shifts.
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