La transformación de la Ingeniería Industrial y la Producción en la era de la Inteligencia Artificial en Colombia

Abstract

The integration of artificial intelligence (AI) within industrial engineering and production processes, as facilitated by Industry 4.0, has led to substantial enhancements in operational efficiency, automation, and decision-making capabilities. This article analyzes the technological advances, applications, and challenges facing the adoption of AI in the manufacturing sector, with an emphasis on the Colombian context. A comprehensive review of the extant literature and industry reports has been conducted to identify key trends in automation and decision-making with Machine Learning and Deep Learning, smart manufacturing, and supply chain optimization. The findings underscore the necessity for strategic investments in technological infrastructure, human capital training, and policy development that promote the competitiveness and sustainability of the tool in Colombia.