TY - GEN
T1 - Mantenimiento industrial predictivo con un modelo de sistemas viables y mantenimiento 4.0
AU - Camara, Rafael Albuquerque
AU - Mamede, Henrique Sao
AU - Santos, Vitor Duarte Dos
N1 - 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
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
KW - Cyber-Physical Systems
KW - Data Mining
KW - Digital Manufacturing
KW - Maintenance 4.0
KW - Manufacturing Execution Systems (MES)
KW - Viable Systems Model
UR - http://www.scopus.com/inward/record.url?scp=85085039169&partnerID=8YFLogxK
U2 - 10.1109/CIMPS49236.2019.9082435
DO - 10.1109/CIMPS49236.2019.9082435
M3 - Conference contribution
AN - SCOPUS:85085039169
T3 - 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering
BT - 2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering
A2 - Munoz Mata, Mirna A.
A2 - Miranda, Jezreel Mejia
A2 - Gasca-Hurtado, Gloria Piedad
A2 - Flores, Maria del Rosario Baltazar
A2 - Ramon, Abraham Eliseo Davila
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 October 2019 through 25 October 2019
ER -