Agent-based distributed manufacturing control: A state-of-the-art survey

By Paulo Leitão. Engineering applications of artificial intelligence, 2009

860 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/be97d9a4118b3a81aa94aef9c4a65fadd437c9b4

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In Industrial and Manufacturing Engineering

Citations in the corpus

Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook (2020, neutral): “Algorithms at the system level are used to decide what and how much to produce, when production is to be ﬁ nished, how and when to use the resources or make them available, when to release jobs and which jobs to release, job routing, and job/operation sequencing [38].”
Smart Agents in Industrial Cyber–Physical Systems (2016, background): “Industrial MASs [9] are seen as playing a key role in the development of CPSs, allowing to design control systems in a decentralized manner based on the distribution of control functions by autonomous and cooperative agents [10], offering important characteristics, such as modularity, flexibility, r”
Cloud manufacturing: key characteristics and applications (2017, background): “Networked manufacturing, or distributed manufacturing (Leitão 2009), was put forward with the booming of the Internet technology, aiming at interconnection and integration of distributed manufacturing resources over the Internet.”
Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges (2016, background): “An agent can be defined as ‘‘an autonomous component, that represents physical or logical objects in the system, capable to act in order to achieve its goals, and being able to interact with other agents, when it doesn’t possess knowledge and skills to reach alone its objectives’’ [18].”
Software Engineering in Industrial Automation: State-of-the-Art Review (2013, background): “Research on application of multi-agent systems in industrial automation presents a rich body of re-sults and has been subject of several surveys, e.g., [64]–[66].”
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review (2021, background): “Publications on manufacturing control systems [62,63] were highly cited in this period.”