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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
Camara, R. A., Mamede, H. S., & Santos, V. D. D. (2019). Mantenimiento industrial predictivo con un modelo de sistemas viables y mantenimiento 4.0. [Predictive Industrial Maintenance with a Viable Systems Model and Maintenance 4.0]. In M. A. Munoz Mata, J. M. Miranda, G. P. Gasca-Hurtado, M. D. R. B. Flores, & A. E. D. Ramon (Eds.), 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering [9082435] (2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIMPS49236.2019.90824
Palavras-chave
Cyber-Physical Systems Data Mining Digital Manufacturing Maintenance 4.0 Manufacturing Execution Systems (MES) Viable Systems Model Computer Science Applications Software Safety, Risk, Reliability and Quality
Contexto Educativo
Citação
Editora
Institute of Electrical and Electronics Engineers (IEEE)
