Predictive industrial maintenance with a viable systems model and maintenance 4.0

Camara, Rafael Albuquerque; São Mamede, Henrique; Santos, Vitor Duarte dos

http://hdl.handle.net/10400.2/14097

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Authors

Camara, Rafael Albuquerque

São Mamede, Henrique

Santos, Vitor Duarte dos

Abstract(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.