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In this course, you will learn how data analysis in virtual production can improve your organization's results! Data analytics in virtual production uses advanced techniques to collect, analyze and present data to improve production. This system is designed to help companies optimize their production and increase efficiency. By learning how to model, do scenario analysis and evaluate using industrial software, identify bottlenecks, and use AI methods and applications, s necessary to succeed with a full production analysis. The course is given with flexible start and study pace, but we recommend a study pace of 20 %, which means that the course takes about 8 calendar weeks.
The course provides a basic understanding of how the product interacts with industrial processes and how this can made more efficient. You will also learn how to use time-to-volume with high quality as a strategy to achieve high productivity and low cost. The course gives you the tools and methods for managing industrialization challenges. By using these, you can ensure fast and cost-effective industrialization. The course also provides an overview of how you can reduce the risk of failure with your industrialization.