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

In three linesDecentralized task allocation framework for circular smart manufacturing using Edge-AI and learning-to-rank. Each machine evaluates incoming tasks with local information (processing capability, queue state, resource contention). Results: improved delay, better deadline adherence, enhanced energy efficiency in simulation.

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