Global Learning for Operational Leaders
Classroom
16 sessions
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Online / Live
16 sessions
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Introduction
Course overview
Why Attend
Maintenance management is a critical function that directly impacts asset reliability, operational efficiency, safety, and profitability. Engineering managers are increasingly expected to move beyond reactive maintenance and adopt strategic, data-driven approaches that optimize performance and reduce downtime. This course provides advanced knowledge and practical tools to design, implement, and manage modern maintenance strategies. Participants will gain insights into reliability-centered maintenance (RCM), predictive maintenance, asset lifecycle management, and the integration of digital technologies in maintenance operations.
Course Methodology
This course combines advanced theoretical concepts with real-world industrial case studies and practical exercises. Participants will engage in scenario-based discussions, maintenance planning simulations, and problem-solving workshops. The course also includes exposure to modern maintenance tools and technologies such as condition monitoring systems and computerized maintenance management systems (CMMS). Group activities will focus on improving decision-making and maintenance strategy development.
Course Objectives
By the end of this course, participants will be able to:
- Develop and implement advanced maintenance strategies
- Apply reliability-centered and risk-based maintenance approaches
- Improve asset performance and reduce downtime
- Plan and optimize maintenance schedules and resources
- Use data and analytics for predictive maintenance
- Implement effective maintenance KPIs and performance metrics
- Manage maintenance teams and workflows efficiently
- Integrate digital technologies into maintenance management
Target Audience
- Engineering Managers and Maintenance Managers
- Plant Managers and Operations Managers
- Reliability Engineers and Asset Managers
- Maintenance Supervisors and Team Leaders
- Technical Professionals in manufacturing, oil & gas, utilities, and infrastructure
Target Competencies
- Strategic maintenance planning and execution
- Asset reliability and lifecycle management
- Data-driven maintenance decision-making
- Performance monitoring and KPI management
- Risk-based maintenance approaches
- Leadership and team management in maintenance
- Technology integration (CMMS, predictive tools)
What you will achieve
Learning objectives
- Develop and implement advanced maintenance strategies
- Apply reliability-centered and risk-based maintenance approaches
- Improve asset performance and reduce downtime
- Plan and optimize maintenance schedules and resources
- Use data and analytics for predictive maintenance
- Implement effective maintenance KPIs and performance metrics
- Manage maintenance teams and workflows efficiently
- Integrate digital technologies into maintenance management
Who should attend
Target audience
- Engineering Managers and Maintenance Managers
- Plant Managers and Operations Managers
- Reliability Engineers and Asset Managers
- Maintenance Supervisors and Team Leaders
- Technical Professionals in manufacturing, oil & gas, utilities, and infrastructure
- Target Competencies
- Strategic maintenance planning and execution
- Asset reliability and lifecycle management
Methodology
Learning approach
- This course combines advanced theoretical concepts with real-world industrial case studies and practical exercises. Participants will engage in scenario-based discussions, maintenance planning simulations, and problem-solving workshops. The course also includes exposure to modern maintenance tools and technologies such as condition monitoring systems and computerized maintenance management systems (CMMS). Group activities will focus on improving decision-making and maintenance strategy development.
Course content
Five focused days of learning and application
Day 1
Maintenance Strategy and Asset Management
- Evolution of maintenance (reactive → preventive → predictive)
- Role of maintenance in organizational performance
- Asset lifecycle management principles
- Maintenance strategies and frameworks
- Introduction to reliability engineering
Day 2
Reliability-Centered and Risk-Based Maintenance
- Principles of Reliability-Centered Maintenance (RCM)
- Failure modes and effects analysis (FMEA)
- Risk-based maintenance planning
- Criticality analysis of assets
- Maintenance optimization techniques
Day 3
Predictive Maintenance and Data Analytics
- Condition monitoring techniques
- Predictive maintenance concepts and tools
- Data collection and analysis for maintenance
- Introduction to IoT and smart maintenance systems
- Using data to prevent failures
Day 4
Maintenance Planning, Scheduling, and Control
- Maintenance planning and work management
- Scheduling techniques and resource allocation
- Spare parts and inventory management
- Computerized Maintenance Management Systems (CMMS)
- KPI development and performance tracking
Day 5
Leadership, Continuous Improvement, and Best Practices
- Leading maintenance teams effectively
- Continuous improvement methodologies (Lean, Six Sigma basics)
- Maintenance audits and performance reviews
- Safety and compliance in maintenance operations
- Case studies and maintenance strategy development workshop
FAQ
Frequently asked questions
What does Advanced Maintenance for Engineering Managers (ME-001) cover?
This course covers Maintenance and Engineering through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 5 - 9 October 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.
Who should attend this course?
Engineering Managers and Maintenance Managers, Plant Managers and Operations Managers, Reliability Engineers and Asset Managers
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Yes. The course detail page includes both classroom sessions and Online / Live sessions, with online options aligned to the same course dates for easier planning.
Where are classroom sessions delivered?
Current classroom venues include Amsterdam, Paris, Barcelona, London, Munich, Istanbul, Madrid.
How long is the training programme?
The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 accredited training hours.
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