TY - GEN
T1 - AI in assessing Industry 4.0 adoption in Colombia: a case study approach
AU - Cruz Salazar, Luis Alberto
AU - Gil Arboleda, Santiago
AU - Rueda Carvajal, Germán Darío
AU - Sánchez-Zuluaga, Gabriel Jaime
AU - D. Zapata-Madrigal, Germán
PY - 2024
Y1 - 2024
N2 - Digital transformation and Industry 4.0 (I4.0) are critical factors in modern enterprises. However, it is complex to achieve in developing countries because of a lack of guidance and budget to adopt technology and innovation culture, especially in Small and Medium Enterprises, so that companies can be supported by Artificial Intelligence (AI). To comprehend the situation in the Colombian market, this study collects data sources from scientific databases and relates them to studies in Industrial AI, I4.0, and the upcoming Industry 5.0. For the evaluation, two questionnaire-based studies are analyzed with data on various aspects of I4.0. Thus, the analysis shows degrees of I4.0 adoption, focusing on prevalent technologies and their alignment with sustainability. The main findings present capabilities and maturity in Colombia’s technological development areas and the potential of using AI objectively to support its transition.
AB - Digital transformation and Industry 4.0 (I4.0) are critical factors in modern enterprises. However, it is complex to achieve in developing countries because of a lack of guidance and budget to adopt technology and innovation culture, especially in Small and Medium Enterprises, so that companies can be supported by Artificial Intelligence (AI). To comprehend the situation in the Colombian market, this study collects data sources from scientific databases and relates them to studies in Industrial AI, I4.0, and the upcoming Industry 5.0. For the evaluation, two questionnaire-based studies are analyzed with data on various aspects of I4.0. Thus, the analysis shows degrees of I4.0 adoption, focusing on prevalent technologies and their alignment with sustainability. The main findings present capabilities and maturity in Colombia’s technological development areas and the potential of using AI objectively to support its transition.
U2 - 10.1016/j.ifacol.2024.08.067
DO - 10.1016/j.ifacol.2024.08.067
M3 - Article in proceedings
VL - 58
T3 - IFAC-PapersOnLine
SP - 162
EP - 167
BT - Proceedings of the 6th IFAC International Workshop on Advance Maintenance Engineering, Services and Technology (AMEST 2024)
PB - Elsevier
CY - Cagliari, Italy
ER -