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Communication Dans Un Congrès Année : 2021

A Framework for Self-configuration in Manufacturing Production Systems

Hamood Ur Rehman
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Jack C. Chaplin
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Leszek Zarzycki
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Svetan Ratchev
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Résumé

Intelligence in manufacturing enables the optimization and configuration of processes, and a goal of future smart manufacturing is to enable processes to configure themselves – called self-configuration. This paper describes a framework for utilising data to make decisions for the self-configuration of a production system device in a smart production environment. A data pipeline is proposed that connects the production system via a gateway to a cloud computing platform for machine learning and data analytics. Agent technology is used to implement the framework for this data pipeline. This is illustrated by a data oriented self-configuration solution for an industrial use-case based on a device used at a testing station in a production system. This research presents possible direction towards realising self-configuration in production systems.
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hal-03685951 , version 1 (02-06-2022)

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Hamood Ur Rehman, Jack C. Chaplin, Leszek Zarzycki, Svetan Ratchev. A Framework for Self-configuration in Manufacturing Production Systems. 12th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Jul 2021, Costa de Caparica, Portugal. pp.71-79, ⟨10.1007/978-3-030-78288-7_7⟩. ⟨hal-03685951⟩
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