Course Overview:
The “Advanced and Predictive Maintenance Management” course focuses on modern maintenance concepts that go beyond traditional approaches, emphasizing predictive techniques to foresee failures and enhance equipment efficiency while reducing operational costs. This course covers preventive and predictive maintenance methods, along with the use of digital tools and technologies, such as artificial intelligence and data analytics, to achieve high levels of sustainability and reliability in industrial operations.
Course Objectives:
- Understand the principles of advanced and predictive maintenance and their role in process improvement.
- Learn how to apply predictive maintenance techniques and data analytics to industrial equipment.
- Develop preventive maintenance strategies to enhance sustainability and operational efficiency.
- Acquire skills in using digital tools and modern technologies to improve maintenance management.
Training Content:
- Introduction to Advanced and Predictive Maintenance: Foundations of modern maintenance approaches.
- Preventive and Predictive Maintenance Strategies: Designing preventive plans and strategies to minimize failures.
- Data Analytics and Predictive Maintenance: Leveraging data to predict and prevent potential failures.
- Digital Maintenance Tools and Technologies: Applying AI and IoT in maintenance practices.
- Case Studies: Industrial case analyses to assess the effectiveness of maintenance strategies.
- Practical Workshop: Hands-on application of acquired concepts and techniques in a training environment.
Target Audience:
This course is designed for engineers and technicians in maintenance and industrial management, project managers, maintenance supervisors, data analysts, and IT professionals within the industrial sector. It is also ideal for those looking to advance their skills in modern maintenance management and improve operational efficiency in their fields.
