RT08 OEE

Headline:

Remote Training module introducing hands on simulation of OEE measurement using sensors and machine learning. Participants will learn how to approach a specific use case in situation with dark assets.

Description:

ROI EFESO remote training is primarily based on interactive and learning by doing approach, where participants are not bombarded with tons of theoretical material and slides, but are rather engaged into training process through the utilization of modern technologies in form of multi participant conferencing platforms, live group surveys, break-out sessions for smaller groups, etc. Though most importantly ROI EFESO remote trainings provide participants a unique opportunity to be virtually present on the shop floor of Lean IoT FAB and be part of the training as if they were physically standing at the training station.

Session 1:

• Brief introduction to classic approach to OEE calculation
• Classification of production assets based on connectivity and data availability
• Examples of dark assets and their transformation
• Live virtual session presenting selected use cases of OEE visualization
• Live group survey

Session 2:

• Application of Machine learning to improve OEE
• Creation of a dataset and Data wrangling
• Application of Decision Tree technique to perform root cause analyses
• Development of a predictive model and prediction of performance
• Group task to develop a Use Case of an IoT application to OEE
• Summary on both sessions

Time estimate:

2 X 1HOUR

Examples and more details:

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