Titlebook: Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling; Schirin Bär Book 2022 The Editor(s) (if applicable)

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Book 2022f new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of m

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Introduction,. When using our smartphones for a phone call, our voice is sent via Internet Protocol (IP) by packages that have to be properly scheduled based on the traffic on the line, so that every package arrives on time.

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Book 2022uling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation..

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shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation..978-3-658-39178-2978-3-658-39179-9

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Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling978-3-658-39179-9

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Academic Writing in Service-Learning,se of production scheduling, scheduling problems are often a decision-making process of sequences of situations and decisions within a system of complex relations. It was proven to be efficient to distribute the decision making to independent but cooperating entities, such as the drive agents in the