Abstract
Prediction is the way to optimize the maintenance task by determining the correct moment to interview, repair or replace equipment which the most difficult decision for companies in Industry 4.0 environment. This research present MASPI. I is a multiagent system based on advantages of virtual organization. The goal of MASPI is to be a reference model for making predictions about data captured by sensors installed in equipment or industrial machines. The capability of MASPI is evaluated by applying it to SCANIA trucks dataset, using machine learnings algorithms to obtain the prediction and compare their accuracy.
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Acknowledgments
This work was supported by the Spanish Ministry, Ministerio de Economía y Competitividad and FEDER funds. Project: SURF, Intelligent System for integrated and sustainable management of urban fleets TIN2015-65515-C4-3-R.
I. Sittón has been supported by IFARHU – SENACYT scholarship program (Government of Panama).
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Candanedo, I.S., González, S.R., De la Prieta, F., Arrieta, A.G. (2019). MASPI: A Multi Agent System for Prediction in Industry 4.0 Environment. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_19
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