Edge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing

In three linesDecentralized task allocation framework for circular manufacturing using Edge-AI and ranking-aware learning. Each machine evaluates tasks using local information (processing capability, queue state, resource contention). Results: reduced delays, improved deadline adherence, enhanced energy efficiency in discrete-event simulation.

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