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Course Overview

Maintenance and reliability are critical for reducing downtime, extending asset life, and improving operational efficiency. Effective planning, supported by engineering tools and data-driven strategies, ensures safe, reliable, and cost-effective operations across industries.

This course covers maintenance frameworks, reliability engineering principles, failure analysis, predictive maintenance, and optimization of asset management strategies. Participants will gain practical skills to design proactive maintenance programs and implement reliability-centered solutions.

At EuroQuest International Training, the course combines technical depth, global best practices, and hands-on exercises to ensure participants can strengthen both planning and reliability in their organizations.

Key Benefits of Attending

• Master frameworks for maintenance planning and scheduling

• Apply reliability engineering tools to improve asset performance

• Use predictive maintenance to reduce downtime and costs

• Strengthen safety and compliance in operations

• Drive operational excellence through optimized asset strategies

Why Attend

This course enables professionals to maximize asset availability and reliability, ensuring organizations achieve efficiency, cost control, and long-term competitiveness.

Course Methodology

• Expert-led lectures on planning and reliability frameworks

• Case studies from manufacturing, energy, and oil & gas sectors

• Hands-on labs using reliability engineering tools

• Group exercises on predictive maintenance planning

• Simulations of maintenance and risk scenarios

Course Objectives

By the end of this ten-day training course, participants will be able to:

• Define best practices in maintenance planning and scheduling

• Apply reliability engineering methods (RCM, FMEA)

• Develop proactive maintenance strategies for critical assets

• Optimize spare parts, inventory, and resource planning

• Implement predictive and condition-based maintenance systems

• Analyze root causes of equipment failures

• Strengthen compliance with international standards

• Use KPIs to measure maintenance and reliability performance

• Leverage digital tools for asset management

• Manage costs while improving availability and reliability

• Drive continuous improvement in maintenance operations

• Build resilience in asset-heavy organizations

Target Audience

• Maintenance and reliability engineers

• Operations and plant managers

• Asset management professionals

• Industrial and mechanical engineers

• Executives overseeing operations and maintenance functions

Target Competencies

• Maintenance planning and scheduling

• Reliability-centered maintenance (RCM)

• Failure modes and effects analysis (FMEA)

• Predictive and condition-based maintenance

• Root cause failure analysis

• Asset performance management

• Operational risk management

Course Outline

Unit 1: Introduction to Maintenance and Reliability

• Role of maintenance in asset management

• Reliability engineering fundamentals

• Global standards and best practices

• Case studies of maintenance strategies

Unit 2: Maintenance Planning and Scheduling

• Principles of planning and scheduling

• Work order management systems

• Resource and spare parts planning

• Tools for effective scheduling

Unit 3: Reliability-Centered Maintenance (RCM)

• Defining and implementing RCM

• Criticality analysis for equipment

• Balancing preventive and predictive maintenance

• Practical workshop on RCM application

Unit 4: Failure Analysis and FMEA

• Failure modes and effects analysis principles

• Fault tree analysis (FTA)

• Root cause failure analysis (RCFA)

• Case studies of major failures

Unit 5: Predictive and Condition-Based Maintenance

• Vibration, oil, and thermal analysis techniques

• IoT and sensor-based monitoring

• Predictive analytics for maintenance

• Practical labs on predictive maintenance tools

Unit 6: Asset Performance and Optimization

• Key performance indicators for maintenance

• Reliability and availability metrics

• Life cycle cost analysis

• Optimization models for asset performance

Unit 7: Spare Parts and Inventory Management

• Spare parts criticality assessment

• Stock optimization strategies

• Linking inventory with reliability goals

• Best practices in supply chain for maintenance

Unit 8: Digitalization in Maintenance and Reliability

• Role of CMMS and EAM systems

• Digital twins in maintenance planning

• AI and machine learning for predictive reliability

• Industry 4.0 applications

Unit 9: Safety, Compliance, and Risk Management

• Maintenance and HSE integration

• Regulatory compliance frameworks

• Risk management in reliability engineering

• Case studies of compliance and safety

Unit 10: Cost Management in Maintenance

• Budgeting for maintenance programs

• Cost-benefit analysis of maintenance strategies

• Linking costs to performance outcomes

• Lean practices in maintenance

Unit 11: Continuous Improvement and Benchmarking

• Applying Six Sigma in maintenance

• Benchmarking against global leaders

• Lessons from world-class reliability programs

• Building a culture of improvement

Unit 12: Capstone Maintenance and Reliability Project

• Group-based reliability strategy design

• Developing a predictive maintenance roadmap

• Presenting plans to stakeholders

• Action roadmap for organizational adoption

Closing Call to Action

Join this ten-day training course to master maintenance planning and reliability engineering, ensuring your organization reduces downtime, improves efficiency, and optimizes asset performance.