Edge-AI Framework for Decentralized Task Allocation in Circular Manufacturing

A study available on arXiv introduces a decentralized task allocation framework for circular smart manufacturing, driven by Edge-AI. This system employs ranking-aware negotiation and incorporates lightweight decision intelligence directly at the machine level, facilitating low-latency coordination without the need for centralized oversight. It tackles issues related to decentralized decision-making, fluctuating workloads, and limitations of shared resources, all while striving to maintain operational efficiency alongside sustainability in resources and energy. The development of the framework is gradual, commencing with a resource-aware heuristic that sets up the decentralized bidding structure.