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Maintenance support in Industry 4.0

By Laboratory for Manufacturing Systems and Automation of Patras

Type of course:

Digital learning, Path

Language:

EN

Duration:

45 minutes

Workload:

6 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Students, Workers

This learning path discusses the value and use of Predictive Maintenance and Augmented Reality for the purposes of maintenance 4.0 support and enabling power. The leaning path consists of 4 learning nuggets and involves predictive maintenance working principles and guidance, educational activities and real-life success stories in the industry as developed during EIT-M activities. The learning path highlights:

Introduction to Industry 4.0 and maintenance support, Smart technologies for maintenance enhancement and shifting paradigms in maintenance strategies, Operational efficiency and cost reduction through maintenance support.
Predictive maintenance objectives strategies and real-world scenarios within the Steel and Aluminum Industry.
Enhancing Operator Support and Operational Efficiency, Application of AR in Steel and Aluminum Industry, Application of PdM in Steel and Aluminum Industry.


Learning outcomes

  1. By the end of the course, the learners will be able to explain and describe the significance of maintenance support in Industry4.0, including its impact on operational efficiency and cost reduction through remote support and predictive maintenance.
  2. After the end of this session, the learners will be able to identify the principles and concepts of Predictive Maintenance and how they can be applied in steel and aluminum industry for maintenance support, having also the ability to analyze and define the requirements, methodologies, and technologies for different use cases.
  3. By the end of this session, the learners will be able to identify the principles and concepts of Augmented Reality and its application in steel and aluminum industry for operator support.
LessonMaintenance support in Industry 4.0 - Quiz

Topics

Digital Transformation, Internet of Things (IoT), Artificial Intelligence (AI), Augmented Reality (AR), Cloud Computing, Data Analytics

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Content created in 2023
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Course Includes

  • 1 Quiz
  • 1 Certificate of achievement

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