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In our picking example, you would begin by analyzing the entire warehouse to identify where the bottleneck or constraint occurs. They address these by maximizing up-time, by examining and optimizing batchsizes, and by moving quality control stations’ position in the workflow to before the constraints.
When the new or adapted skills are trained, the patented robominds-process impresses once again with its resource savings: Thanks to the unique physics simulation environment, the most complex AI models can be trained within a few hours – without humans or machines having to be involved in the physical learning process.
Analyses of automotive manufacturers, for example, may show that re- or nearshoring of certain products or components makes sense. And they cannot avoid training their long-time employees in supply chain management – because the complexity of their tasks continues to increase. Sourcing and purchasing models are being rethought.
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