Application of the industrial internet of things (ioT) in manufacturing lines by plastic injection molding process.

Authors

DOI:

https://doi.org/10.32870/recibe.v9i2.160

Keywords:

Internet Industrial, Industria de moldeo por inyección de plástico, Industria 4.0

Abstract

Industrial Revolutions have been a key part for the technological, social and economic development. Among these industries one that has gained advantage from the technological advances is the plastic injection molding, which recently has integrated Industry 4.0 technologies. From here on the current white paper has the following objective: Positioning on the Industry 4.0 context applied to the Injection molding industry main process. This industry maintains a complex controlled process, which requires the use of statistical methods that display the behavior and outcomes of the process. Data is often acquired manually, which leads to misinformation that could generate issues on different departments. The proposal is to use industry 4.0 technologies to raise efficiency, discover tendencies and optimize resources and processes, starting from the notion that these technologies makes easier the successful decision-making stage based on the data extracted from production, enhancing the root cause analysis for the main issues. By a systematic literature revision, successful cases of integration have been found along with Industrial Internet of things concepts and the relation between industry 4.0 and injection molding industry, the results on the cases can be useful for the injection molding industrial community to integrate this type of solution on their business.

Author Biography

Jesus Ivan Aguilar Lugo, Universidad Autonoma de Baja California

Ing. en Diseño.

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Published

2021-02-01

How to Cite

Aguilar Lugo, J. I., Ibarra Esquer, J. E., & Angulo Bernal, M. (2021). Application of the industrial internet of things (ioT) in manufacturing lines by plastic injection molding process. ReCIBE, Electronic Journal of Computing, Informatics, Biomedical and Electronics, 9(2), C1–22. https://doi.org/10.32870/recibe.v9i2.160

Issue

Section

Computer Science & IT