Digital Transformation in Higher Education: A Comparative Exploration of Industry 4.0 in Switzerland and Mexico

Reyes Zarate, Gabriela Guadalupe; Gruener, Gabriel; Marti, Patrik (21 December 2023). Digital Transformation in Higher Education: A Comparative Exploration of Industry 4.0 in Switzerland and Mexico In: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). Singapore. 18 - 21 December 2023.

Text 2023251774.pdf Restricted to registered users only Download (574kB) | Request a copy

The introduction of Industry 4.0 has boosted the use of new technologies. Product and service companies are aiming for improvements in operational efficiency and profitability. In this context, collaborative robots (Cobots) are a promising technology offering safe collaboration with humans in the workplace. Higher education must provide skilled personnel in these new technologies. One of the significant university offerings is the practice laboratory, where theory is applied, and relevant projects are developed. The Bern University of Applied Sciences in Switzerland has introduced practical activities using Cobots in their laboratories and student projects for local manufacturing companies focused on Industry 4.0 activities. At Tecnologico de Monterrey in Mexico, a private university, programs under new curricula in its educational model (Tec 21) redirect efforts toward digital transformation. This work analyzes the Swiss and Mexican models. It proposes a method to adapt the activities in Mexico that emphasizes using new technologies as part of the digital transformation.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	School of Engineering and Computer Science > Institute for Human Centered Engineering (HUCE) > HUCE / Laboratory for Robotics School of Engineering and Computer Science
Name:	Reyes Zarate, Gabriela Guadalupe; Gruener, Gabriel0000-0002-6214-7492 and Marti, Patrik
Subjects:	T Technology > TS Manufactures
Language:	English
Submitter:	Gabriel Gruener
Date Deposited:	17 Jan 2024 08:55
Last Modified:	17 Jan 2024 08:55
Additional Information:	Received the Outstanding Paper Award
ARBOR DOI:	10.24451/arbor.20980
URI:	https://arbor.bfh.ch/id/eprint/20980