Data and the resulting sequence change from “algorithm -> data -> decision” towards “data -> algorithm -> decision“ drive a revolutionary change.

Algorithms can help improve Overall Equipment Effectiveness, representing machine availability and performance as well as the quality of produced goods.

The goal – improving OEE – is not new. New is the data-based approach by means of machine learning algorithms.

An “edge“ solution close to or part of field devices and machines addresses the decision maker’s unwillingness moving production data into the cloud, and allows data to stay in the production line and to be processed on the spot.

The steps taken from initial workshop through proof of concept, concept development, project execution and deployment, as well as tasks on client and solution provider side, including milestones and eventual results brought forward by the live scoring system will be shared in the presentation.