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Supporting Predictive Maintenance in Virtual Factory

Abstract : In Industry 4.0 manufacturing collaborative network, productdesignprocesses,manufacturing processes, maintenance processes should be integrated across different factories and enterprises.The collaborative manufacturing network 4.0 allows the amalgamation of manufacturing resources in multiple organizations to operate processes in a collaborative manner for reacting to the fast changes of markets or emergencies.In this paper, we propose a predictive maintenance service as a part of a virtual factory, a form of collaborative manufacturing network. Data-driven predictivemaintenance service is built-in FIWARE, an industry 4.0 framework. To optimize predictive maintenance services based on different criteria within a virtual factor, such as geographical locations, similar types of machinery, or cost/time efficiency,etc., we provide our design and implementation to deal with providing better maintenance services and data exchanging across different collaborative partners with different requirements and modularizing of related functions.
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Submitted on : Wednesday, November 24, 2021 - 9:51:31 AM
Last modification on : Friday, August 19, 2022 - 10:28:36 AM
Long-term archiving on: : Friday, February 25, 2022 - 6:23:49 PM


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Go Muan Sang, Lai Xu, Paul de Vrieze. Supporting Predictive Maintenance in Virtual Factory. 22nd Working Conference on Virtual Enterprises (PRO-VE 2021), Nov 2021, Saint-Etienne, France. pp.151-160, ⟨10.1007/978-3-030-85969-5_13⟩. ⟨emse-03338360⟩



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