Análisis de funcionalidad de herramientas para el mejoramiento del proceso de implementación de la industria 4.0: Planeación del proyecto de investigación

Manuel Arnoldo Rodríguez Medina; Xóchitl Graciela Aguilar Rivas; Luz Angélica Aguilar Chávez; Eduardo Rafael Poblano Ojinaga

doi:10.61273/neyart.v3i4.117

Authors

Manuel Arnoldo Rodríguez Medina National Technological Institute of Mexico
Xóchitl Graciela Aguilar Rivas National Technological Institute of Mexico
Luz Angélica Aguilar Chávez National Technological Institute of Mexico
Eduardo Rafael Poblano Ojinaga National Technological Institute of Mexico

DOI:

https://doi.org/10.61273/neyart.v3i4.117

Keywords:

Utility, Efficiency, Effectiveness, Risk Management, Digitalization, Automation

Abstract

The use of statistical analysis has been fundamental at the industrial level, as it improves decision-making, optimizes operations, and ensures high quality standards in production. Over time, different statistical methodologies have allowed companies to identify patterns, forecast trends, and reduce variability in manufacturing and operational management. Its implementation covers sectors such as production, logistics, quality control, and risk management, where data analysis helps reduce waste, improve efficiency, and increase profitability. With the rise of Industry 4.0, the implementation of statistical tools has become even more relevant. Digitization and automation have generated large volumes of data that require precise analysis. Technologies such as Big Data and Machine Learning have revolutionized the use of statistical tools, enabling effective decision-making. The combination of technologies with advanced statistical models allows companies to optimize operational management and minimize errors in production. Industry 4.0 not only demands intensive use of data, but also its correct interpretation through robust analytical models that drive digital transformation and strengthen industrial competitiveness.

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Author Biographies

Manuel Arnoldo Rodríguez Medina , National Technological Institute of Mexico

Senior Professor at the Technological Institute of Ciudad Juárez / Graduate and Research Division. He obtained his PhD in Industrial Engineering from the Technological Institute of Ciudad Juárez in 1998. His research interests include experimental design, response surface methods, and reliability engineering. He is the author of more than 100 journal articles in these areas. Dr. Rodríguez is a member of the American Society for Quality, as well as a Senior Member of the Institute of Industrial Engineers.

Xóchitl Graciela Aguilar Rivas , National Technological Institute of Mexico

Industrial Engineer graduated from the Technological Institute of Los Mochis, with a Master's Degree in Six Sigma Quality from the Regional University of the North, specializing in DMAIC methodology and continuous improvement. She has nine years of experience as a teacher in the area of international logistics. Her expertise focuses on the application of Bayesian statistics and multivariate techniques for process optimization and complex problem solving in supply chains.

Luz Angélica Aguilar Chávez , National Technological Institute of Mexico

Graduated with a degree in Mathematics from the Autonomous University of Ciudad Juárez and completed a Master's Degree in Industrial Engineering from the Technological Institute of Ciudad Juárez/TECNM with honors, obtaining the highest grades in her program and in the postgraduate and research department. She has developed expertise in statistical areas such as Bayesian network modeling, the She has developed her skills in statistical areas such as Bayesian network modeling, the use of statistical software for modeling problems involving uncertainty, as well as the construction of models of social situations.

Eduardo Rafael Poblano Ojinaga , National Technological Institute of Mexico

Head of the Academic Department at the Technological Institute of Ciudad Juárez. He obtained his PhD. In Technology at the Autonomous University of Ciudad Juárez in 2019. He has been a professor for 35 years in Industrial Engineering at the National Technological Institute of Mexico, La Laguna Campus. He obtained his doctorate in Technology at the Autonomous University of Ciudad Juárez-Mexico (2019) and is a member of the National System of Researchers (Mexico). His area of research is Strategic Planning, Quality Engineering, and Structural Equation Modeling. He has professional industrial experience as a production, quality, and marketing manager. He has also been an industrial consultant in quality engineering, six sigma, and teamwork. He currently serves as deputy administrative director of the National Technological Institute of Mexico, Ciudad Juárez Campus.

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