Carlos Alberto Escobar Diaz

Dr. Carlos Alberto Escobar Diaz is a research scientist. He is the author of the book “Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision”, Elsevier 2023. He worked for over seven years at the Manufacturing Systems Research Lab of General Motors, Global Research and Development. He studies the application of Artificial Intelligence (AI) to manufacturing systems to improve quality and productivity. He has published over 30 peer-reviewed articles in top journals of manufacturing, quality, and AI. His research topic has been presented in top conferences and according to a published bibliometric study, he is considered one of the most cited and fruitful authors in Quality 4.0. Dr. Escobar obtained his Ph.D. in Engineering Sciences with concentration in AI and master’s degree in Quality Engineering from Tecnológico de Monterrey. He also obtained a master’s in industrial engineering from New Mexico State University and currently he is pursuing a master’s in Management at Harvard Extension School (HES), where he also worked as a Faculty Aide. Dr. Escobar was in the Mexican national team of martial arts and today he enjoys teaching his colleagues this sport.

Articles

ARTICLES

AI Learning and Artificial Intelligence Concept. AI microship in a circuit board glowing blue.
Measurement

Beyond DMAIC: Leveraging AI and Quality 4.0 for Manufacturing Innovation in the Fourth Industrial Revolution

Effective AI deployment requires addressing challenges related to continuous learning, adaptation, and the robust management of vast, real-time data streams—areas where DMAIC falls short.
Carlos Alberto Escobar Diaz
November 29, 2024

This article explores the evolution of manufacturing data, the limitations of DMAIC in the Fourth Industrial Revolution, and introduces Binary Classification of Quality (BCoQ) and Learning Quality Control (LQC) systems as part of Quality 4.0.



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