Yield Optimization

Waste Reduction with parameter optimization: 33% failure reduction for leading technical yarn Manufacturer

Resultance is an international mid-sized advisory firm and partners with Faktion for the delivery of A.I. projects.
Together with Faktion, we helped one of their clients to find ways of increasing material yield in their manufacturing and production lines. Due to parameter optimization, the project resulted in a successful prediction model, able to reduce waste significantly without the need of interfering with the live production process.

The road to applied Reinforcement Learning

We’re super excited about the maturing Reinforcement Learning (RL) field. Faktion is already applying this technique to optimize customers’ processes. Over the past years, RL agents have collected the best human players’ scalps in increasingly complicated games like Go, Starcraft II, and DOTA 2. Not only did these RL agents outplay the best human players, they often did so in their own style, unrestrained by the human preconception of how to win. Who said AI couldn’t be creative?

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