Human in the Loop 4.0
· Source: logisticsbusiness.com
In short
Researchers at Kühne Logistics University, Eindhoven University of Technology and Emory University propose a "targeted automation" approach that automates decisions where human input adds little value while keeping people involved where their judgement improves the algorithm. Applied to more than 475,000 order-related decisions at a commercial vehicle manufacturer, the model automated around 84 percent of decisions. The authors argue that selective automation balances short-term efficiency with continuous AI improvement.
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Tags: automation, human oversight, decision-making, algorithms, supply chain