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Explore EIT Manufacturing Academy’s extensive training catalogue, offering a diverse range of learning activities including digital modules, live sessions, blended training, and hands-on practice. Whether you prefer flexible online learning or interactive in-person experiences, browse our comprehensive list where featured selections are highlighted for your convenience. Discover your path to success with us today!
Digital Twins for Supply Chain Optimization
This nugget explores the concept of Supply Chain Optimization KPIs and their relationship with Digital Twins in the context of modern Supply Chain operations.
Digital Twin for Sustainability Improvement for Electrochemical Process
This nugget explores the concept of environmental sustainability KPIs and their relationship with Digital Twins in the context of manufacturing, employing an electrochemical process use case.
Augmented reality solutions for training activities
"This nugget provides comprehensive knowledge about the followings: The difference between extended reality solutions; Guideline how to create an Augmented Reality solution using Manifest software including: •creation of a template from a flowchart •creation an asset •creation an asset class •QR code and alignment"
Understanding data structures for storage of measurement and feature data
Presentation on data representation methods in a relational database for data storage and further processing. Includes methods of database model creation using GUI programs and tips on effective insert and select operations on data. Additionally, a brief overview of typical data representation is provided.
Data collection from manufacturing using different methodologies
Data collection from manufacturing
Validation and Evaluation techniques for Data Driven models
This nugget outlines essential validation and evaluation techniques for data-driven models, covering areas like model comparison, historical data validation, parameter optimization, and sensitivity analysis. Participants will learn to assess model accuracy, optimize performance, and understand sensitivity, gaining practical skills and knowledge through best practices and case studies to ensure the reliability and effectiveness of data-driven models in various fields.
Introduction to Multivariate Statistical Process Control
Introduction to the concept of Multivariate Statistical Process Control and its elements for implementation
The challenges and limitations of using digital twins in sustainable manufacturing, such as data privacy and cybersecurity concerns
The learner will delve into the concept of data privacy within the context of digital twins, a technology widely used in sustainable manufacturing. This learning nugget aims to provide a comprehensive understanding of the importance of safeguarding sensitive information and ensuring responsible data practices.