Not every piece of preventive maintenance looks the same: some equipment simply needs a fixed schedule, some needs condition-based checks, and some benefits from vibration analysis that catches trouble before it shows on the surface. Picking the wrong approach — or none at all — is often what pushes a maintenance team back into reactive, break-then-fix mode.

This course from the Arab British Fellowship Training Academy equips participants to choose and run the right preventive maintenance strategy for each situation, and to plan the spare parts and inventory that keep it running without unnecessary stock or costly delays.

Target Group of the Course:

• Employees in maintenance sections and maintenance and operation workers.
• Graduates of Electrical and Electronic Engineering faculties.
• Specialists in the field of maintenance and operation.

Course Objectives:

• Explain the importance of advanced systems for preventive maintenance.
• Introduce participants to modern methods of managing preventive maintenance systems and planning spare parts.
• Train participants on applying preventive maintenance systems and spare parts planning methods.
• Build awareness of the importance of implementing integrated maintenance planning.

Module 1: Types of Preventive Maintenance and When to Use Each

• Scheduled (regular) preventive maintenance.
• Condition-based (diagnostic) preventive maintenance.
• Preventive maintenance based on vibration and acceleration analysis.

Module 2: Building a Preventive Maintenance Programme

• The concept of preventive maintenance and its role in protecting equipment assets and avoiding unexpected failures.
• Objectives and benefits of applying preventive maintenance.

Module 3: Spare Parts and Inventory: Keeping Operations Running

• The importance of planning spare parts and consumables to ensure continuity of operations.
• Enterprise resource planning (ERP) techniques and supply chain management systems.
• Methods of evaluating and analysing inventory and determining demand levels.

Module 4: Smart Maintenance: Predictive Techniques, IoT and CMMS

• Using Big Data and Artificial Intelligence to improve fault prediction.
• Internet of Things (IoT) and remote sensing applications to monitor equipment status.
• Using computerised maintenance management systems (CMMS) to organise and track maintenance activities.

Module 5: Measuring Performance and Staying Safe

• Key performance metrics (KPIs) in maintenance and data analysis to identify areas for improvement.
• Using evaluation results to improve maintenance operations and support strategic decisions.
• Assessing risks, applying safety procedures, and managing occupational accidents in maintenance activities.