Description
The industry constantly strives to achieve the highest possible availability of its installations (assets). Among other things, it tries to achieve this by not having breakdowns between two consecutive planned preventive tasks.
Here, “Maintenance 4.0” can deploy its full potential.
However, it is a comprehensive concept with concepts about identifying needs, connecting measurement systems, up to and including the use of artificial intelligence (AI).
During this three-day training we will go through all these concepts in a logical order and with constant attention to their applicability. After this training, you will have all the keys in hand to make your 4.0 maintenance program a success.
Recommended audience
Maintenance managers and engineers, reliability engineers, production managers, process engineers, IT and Data infrastructure managers, anyone dealing with operation and maintenance data of assets.
You will learn
A multi-faceted 7-step approach that helps you successfully execute a 4.0 project using intelligent data management, with a focus on visualization and making the right decision.
An application path is proposed using tools defining the company’s strategic objectives, the 4.0 project prioritization matrix and the value sheet, describing the skeleton of a 4.0 project. To optimize your experience, we suggest that you bring your own CMMS data with you. This data will be integrated into the I-Mining analysis tool, based on artificial intelligence (AI Data Driven), enriching the training with a more personalized approach. The I-mining tool enables automatic analysis of events and failure histories reported in your CMMS.
Through I-care’s “Maintenance 4.0” roadmap, we will cover the following elements:
- Converting failure mode detection into the right sensor and measurement system
- Integrating maintenance and process parameters
- The importance of connected data sources
- How to collect and import data at a central location
- Combining a business vision with data science aspects
- The importance of project selection
- The contribution of new methods based on artificial intelligence in maintenance.
Course duration
3 DAYS