London Leadership Management Innovation llmi.uk
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Maintenance and Engineering · ME-001

Advanced Maintenance for Engineering Managers

5 daysClassroom
15Upcoming dates
7Cities
£2,850Fees from

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:

Target Audience

Target Competencies

Course outline

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 

Dates and fees

DatesCityFee
16 - 20 Nov 2026Paris, France£3,850
7 - 11 Dec 2026Barcelona, Spain£4,400
21 - 25 Dec 2026London, United Kingdom£4,500
18 - 22 Jan 2027Munich, Germany£4,250
15 - 19 Feb 2027Amsterdam, Netherlands£4,250
15 - 19 Mar 2027Istanbul, Turkey£2,850
19 - 23 Apr 2027London, United Kingdom£4,200
17 - 21 May 2027Barcelona, Spain£3,850
21 - 25 Jun 2027Istanbul, Turkey£2,850
19 - 23 Jul 2027Madrid, Spain£4,250
16 - 20 Aug 2027Paris, France£4,500
20 - 24 Sep 2027Barcelona, Spain£3,850
18 - 22 Oct 2027London, United Kingdom£4,200
15 - 19 Nov 2027Munich, Germany£4,250
20 - 24 Dec 2027Amsterdam, Netherlands£4,250
London Leadership Management InnovationRegister at llmi.uk/course/advanced-maintenance-for-engineering-managers