Innovation in Risk Management and Industrial Maintenance: Application of Mathematical Models and Artificial Intelligence for the Prevention and Prediction of Accidents

Angélica María Contreras Jáuregui; Janeth Lorena Valero Pabón; Giuseppe Converso; Gilbert Adrian Añazco Campoverde

doi:10.63332/joph.v5i7.2736

Innovation in Risk Management and Industrial Maintenance: Application of Mathematical Models and Artificial Intelligence for the Prevention and Prediction of Accidents

Authors

Angélica María Contreras Jáuregui Universidad de Pamplona
Janeth Lorena Valero Pabón Universidad de Pamplona
Giuseppe Converso DICMAPI – Department of Chemical, Materials, Industrial Production Engineering – University Federico II, Naples p.le Tecchio, 80 – 80124 Naples
Gilbert Adrian Añazco Campoverde Universidad Técnica de Machala

DOI:

https://doi.org/10.63332/joph.v5i7.2736

Keywords:

Risk Management, Industrial Maintenance, Artificial Intelligence, Mathematical Models, Accident Prediction

Abstract

Risk management and industrial maintenance have evolved into proactive approaches supported by emerging technologies. This article explores the integration of mathematical models and artificial intelligence (AI) techniques in the prediction and prevention of industrial accidents. Through systematic review, predictive modeling, and case study analysis, significant improvements in operational efficiency and occupational safety are evidenced. It is concluded that AI and quantitative models are key tools in the digital transformation of industrial maintenance.

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Published

2025-06-28

How to Cite

Jáuregui, A. M. C., Pabón, J. L. V., Converso, G., & Campoverde, G. A. A. (2025). Innovation in Risk Management and Industrial Maintenance: Application of Mathematical Models and Artificial Intelligence for the Prevention and Prediction of Accidents. Journal of Posthumanism, 5(7), 132–139. https://doi.org/10.63332/joph.v5i7.2736