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The paper presents an adaptive iterative distributed scheduling algorithm that operates in a market-based production control system.
The paper presents an adaptive iterative distributed scheduling algorithm that operates in a market-based production control system.
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The self-adaptive neural-agent-based decision support system was able to effectively and efficiently yield better results for production schedule, ...
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Reinforcement learning in a distributed market-based ... - dblp
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Bibliographic details on Reinforcement learning in a distributed market-based production control system.
A reinforcement learning method is integrated into the digital twin to autonomously learn a superior production control logic for the distribution of tasks ...
The paper presents an adaptive iterative distributed scheduling algorithm that operates in a market-based production control system.
Mar 28, 2024 · To assess realistic behavior, the MM agents should control their inventory and rely on the Profit and Loss (PnL) from spread (providing ...
Abstract. The objective of this paper is to examine the use and applications of reinforcement learning (RL) techniques in the production planning and ...
Feb 9, 2024 · Specifically, we focus on the woodworking and textile sectors, which are part of ongoing research activities within two distinct European ...