Abstract
The paper presents an efficient privacy preserving distributed algorithm intended to coordinate local production schedules of B2B plant network involved in joint fulfillment of multiple dynamically incoming orders. This task is challenging and has no satisfactory solution of industrial scale so far. The proposed solution exploiting multi-agent software architecture is validated based on a case study dealing with industrial scale distributed coordination of production schedules of autonomous shops of a big production plant.
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