Evidence map›Paper›PMID 38755242›Full record

ArticleScientific reports2024

Developing a virtual reality and AI-based framework for advanced digital manufacturing and nearshoring opportunities in Mexico.

Pedro Ponce, Brian Anthony, Russel Bradley, Javier Maldonado-Romo, Juana Isabel Méndez, Luis Montesinos, Arturo Molina

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Pedro PonceInstitute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, 64849, Monterrey, NL, Mexico. pedro.ponce@tec.mx.
Brian AnthonyDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Russel BradleyDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Javier Maldonado-RomoInstitute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, 64849, Monterrey, NL, Mexico.
Juana Isabel MéndezInstitute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, 64849, Monterrey, NL, Mexico.
Luis MontesinosInstitute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, 64849, Monterrey, NL, Mexico.
Arturo MolinaInstitute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, 64849, Monterrey, NL, Mexico.

Funding

Tecnologico de Monterrey Institute Advanced Materials for Sustainable Manufacturing
6 · The paper itself

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.

Indexed as

Advanced manufacturingArtificial intelligenceNearshoringTrainingVirtual reality

Identifiers

PMID38755242
PMCPMC11099034

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.