Abstract

The growing expansion of the manufacturing sector, particularly in Mexico, has revealed a spectrum of nearshoring opportunities yet is paralleled by a discernible void in educational tools for various stakeholders, such as engineers, students, and decision-makers. This paper introduces a state-of-the-art framework, incorporating virtual reality (VR) and artificial intelligence (AI) to metamorphose the pedagogy of advanced manufacturing systems. Through a case study focused on the design, production, and evaluation of a robotic platform, the framework endeavors to offer an exhaustive educational experience via an interactive VR environment, encapsulating (1) Robotic platform system design and modeling, enabling users to immerse themselves in the design and simulation of robotic platforms under varied conditions; (2) Virtual manufacturing company, presenting a detailed virtual manufacturing setup to enhance users’ comprehension of manufacturing processes and systems, and problem-solving in realistic settings; and (3) Product evaluation, wherein users employ VR to meticulously assess the robotic platform, ensuring optimal functionality and customer satisfaction. This innovative framework melds theoretical acumen with practical application in advanced manufacturing, preparing entities to navigate Mexico’s manufacturing sector’s vibrant and competitive nearshoring landscape. It creates an immersive environment for understanding modern manufacturing challenges, fostering Mexico’s manufacturing sector growth, and maximizing nearshoring opportunities for stakeholders.

Details

Title
Developing a virtual reality and AI-based framework for advanced digital manufacturing and nearshoring opportunities in Mexico
Author
Ponce, Pedro 1 ; Anthony, Brian 2 ; Bradley, Russel 2 ; Maldonado-Romo, Javier 1 ; Méndez, Juana Isabel 1 ; Montesinos, Luis 1 ; Molina, Arturo 1 

 Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey, Mexico (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701) 
 Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786) 
Pages
11214
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3055694617
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.