A Review of Industry 4.0 Assessment Instruments for Digital Transformation

Author:

Zamora Iribarren Miranda1,Garay-Rondero Claudia Lizette12ORCID,Lemus-Aguilar Isaac34ORCID,Peimbert-García Rodrigo E.15ORCID

Affiliation:

1. Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnológico, Monterrey 64700, Nuevo León, Mexico

2. Tecnologico de Monterrey, Institute for the Future of Education, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnológico, Monterrey 64700, Nuevo León, Mexico

3. Tecnologico de Monterrey, EGADE Business School, Eugenio Garza Lagüera & Rufino Tamayo, Valle Oriente, San Pedro Garza García 66269, Nuevo León, Mexico

4. Universidad Politécnica de Madrid, Industriales Escuela de Negocios, C/José Gutiérrez de Abascal, 2, 28006 Madrid, Spain

5. University of Technology Sydney, Faculty of Engineering and IT, Ultimo, NSW 2007, Australia

Abstract

Nowadays, different Industry 4.0 technologies have been implemented into diverse industries. However, these implementations are not standardized across similar industries and countries. Consequently, companies are actively looking for assessment instruments—maturity models, roadmaps, frameworks, readiness assessments—to assist in their digital transformation, to determine their Industry 4.0 level, and to identify technologies and strategies that should be implemented in specific areas, thus developing a feasible implementation plan. A review is conducted following the PRISMA (Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses) methodology to analyze the different research works on assessment instruments focused on Industry 4.0. A total of 538 articles, book chapters, conference proceedings, editorial material, reviews, and reports written in the English language were retrieved. Of these, 132 research papers were examined using a mixed analysis format to generate bibliometrics, and 36 articles were then deeply studied for a complete meta-analysis. The findings and insights of this meta-analysis led to a compilation and summary of dimensions, outcomes, enablers, and key components typically involved in Industry 4.0, which are comprehensively integrated to present the best practices for assessing Industry 4.0 and deploying a digital transformation that can impact productivity, flexibility, sustainability, quality, costs, and time.

Funder

Fondo de Apoyo a Publicaciones (FAP), Tecnológico de Monterrey, México

Publisher

MDPI AG

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