Every hour a production line stops unexpectedly costs money that never shows up as a single line item — lost output, rushed repairs, and frustrated teams. That is exactly the gap the Smart and Predictive Maintenance Management programme from the Arab British Fellowship Training Academy is built to close, guiding maintenance professionals from firefighting breakdowns to anticipating them before they happen.

Rather than treating maintenance as a cost centre, the programme reframes it as a performance lever. Participants explore how predictive and proactive techniques, supported by Computerised Maintenance Management Systems (CMMS) and data analysis, cut unplanned downtime and extend the working life of equipment, with real cases showing how facilities balance preventive schedules against predictive signals.

By the end, participants leave with a practical toolkit for running a maintenance department efficiently — from diagnosing recurring faults to leading a team, controlling spend, and building a long-term improvement roadmap for the facility.

Who Should Attend?

• Facility, plant, and asset management professionals aiming to sharpen their maintenance strategy.
• Maintenance managers, supervisors, and performance-improvement officers running maintenance teams day to day.
• Engineers and technicians who specialize in maintenance and want to move into more strategic roles.
• Anyone preparing to take on maintenance or operations management responsibilities and needing a structured foundation.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Diagnose recurring breakdowns and apply targeted strategies to bring maintenance-related costs down.
• Apply preventive and predictive maintenance techniques confidently, using CMMS platforms to plan and track the work.
• Build a working knowledge of modern maintenance management methods and where each one fits best.
• Coordinate and lead maintenance teams more effectively, from task allocation to performance follow-up.
• Translate day-to-day maintenance data into decisions that improve equipment reliability over time.

• Module 1: Why Downtime Costs More Than You Think
  • The real difference between traditional reactive maintenance and advanced maintenance management.
  • How unplanned downtime affects productivity, cost, and delivery commitments.
  • Core objectives of an advanced maintenance function within a facility.
• Module 2: From Reactive to Predictive — Modern Maintenance Approaches
  • Predictive maintenance: definition, tools, and how it prevents failures before they occur.
  • Economic benefits of predictive over purely reactive maintenance.
  • Examples of predictive maintenance applications and the returns they generate.
• Module 3: Preventive Maintenance in Practice
  • Types of preventive maintenance strategies and how to schedule them appropriately.
  • Balancing predictive and preventive maintenance on the same asset base.
  • Common challenges facilities face when rolling out advanced maintenance programs.
• Module 4: Digitising Maintenance with CMMS
  • Core functions of an integrated Computerised Maintenance Management System.
  • How CMMS organizes daily maintenance operations and increases productivity.
  • Criteria for selecting the right CMMS and integrating it with other facility systems.
• Module 5: Turning CMMS Data into Decisions
  • Collecting and analyzing maintenance data through electronic systems.
  • Using breakdown and maintenance reports to improve performance.
  • Diagnosing root causes of equipment failures to prevent recurrence.
• Module 6: Controlling and Reducing Maintenance Costs
  • Techniques for reducing maintenance and labor costs without cutting corners.
  • Using financial analysis to evaluate and improve maintenance spending.
  • Continuous-improvement techniques applied to maintenance cost structures.
• Module 7: Building and Leading Maintenance Teams
  • Dividing tasks and managing human resources within the maintenance department.
  • Time and resource planning tools to reduce delays in maintenance work.
  • Motivating and continuously training teams to keep pace with new techniques.
• Module 8: Smart Maintenance, AI and Big Data
  • How AI and IoT technologies support smart maintenance across industries.
  • Using big data and analytics to predict failures and improve strategy.
  • The role of digital transformation and cloud systems in reducing costs.
• Module 9: Spare Parts and Inventory Control
  • Managing spare parts and consumables inventory efficiently.
  • Selecting suppliers and negotiating for spare parts at the best value.
  • Integrating inventory tracking with CMMS to reduce waste and stockouts.
• Module 10: Continuous Improvement and Long-Term Planning
  • Applying continuous-improvement tools such as Six Sigma and Lean to maintenance.
  • Measuring maintenance success with Key Performance Indicators (KPIs).
  • Developing a sustainable, long-term plan for maintenance improvement.