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Publicação
Predictive industrial maintenance with a viable systems model and maintenance 4.0
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Orientador(es)
Resumo(s)
In face of the continuously growing process of the fourth industrial revolution, the industries are forced to innovate their industrial manufacturing process to remain competitive and active in the market, perfecting the manufacturing process through new interconnected and autonomous technologies. Since time reduction, quality enhancement and cost reduction for manufacturing of industrial products are the major catalysts of a successful company for the current Era called Maintenance 4.0, this paper proposes to illustrate an Information Systems Architecture where, using the Viable Systems Model, it is possible to perform automatic adjustments in the subsystems related to Cyber-Physical Systems and Manufacturing Execution Systems (MES) within the Digital Manufacturing model and, in addition, to mitigate machine failures through predictive analyzes of massive volumes of data using algorithms with intelligent functions and Data Mining (DM) in order to automatically stabilize the entire system chain quickly and efficiently.
Descrição
CIMPS. Conferência internacional, realizada de 23-25 de outubro de 2019
Palavras-chave
Maintenance 4.0 Manufacturing Execution Systems (MES) Cyber-physical systems Viable systems model Digital manufacturing Data mining