Day 1: Introduction to Digital Maintenance

• Concept and importance of digital maintenance

• Digital transformation in asset maintenance

• Benefits and challenges

• Key technologies used (IoT, big data, AI)

• Successful case studies

Day 2: Digital Data Collection and Analysis

• Tools and techniques for digital data collection

• Sensors and Internet of Things (IoT) in maintenance

• Computerized Maintenance Management Systems (CMMS)

• Data analysis and visualization

• Data integration from multiple sources

Day 3: Predictive and Smart Maintenance

• Differences between predictive and traditional maintenance

• Use of AI and machine learning

• Early diagnostic technologies

• Maintenance prediction models

• Practical applications

Day 4: Automation and Control in Digital Maintenance

• Automation and smart control systems

• Robotics and augmented reality technologies

• Remote maintenance and continuous monitoring

• Improving operational efficiency

• Team management and remote maintenance

Day 5: Achieving Excellence and Performance Sustainability

• Key performance indicators for digital maintenance

• Change management and organizational transformation

• Sustainability and innovation in maintenance

• Training and developing digital skills for the team

• Workshop: Developing a digital maintenance implementation plan to achieve excellence