Model for measuring technological maturity for critical sector industries

Zuluaga, Jimmy Anderson Flórez; Escobar, Jhon F; Martínez, Guillermo Alfonso Giraldo; D'Aleman, Jorge Calle; Vallejo, Alejandra Ochoa

doi:10.1016/j.joitmc.2023.100194

Cited by 5 publications

(1 citation statement)

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“…This study diverges from the conventional use of the Technology Readiness Level (TRL) in evaluating technology maturity within new product development or innovation research [17]. Rather, it concentrates on tools that evaluate management implementation capabilities, like the well-regarded RAMI 4.0, which is a comprehensive framework of standards, practices, and references intended for the development of Industry 4.0 readiness assessment methods [18].…”

Section: Introductionmentioning

confidence: 99%

A Review of Industry 4.0 Assessment Instruments for Digital Transformation

Zamora Iribarren,

Garay-Rondero,

Lemus-Aguilar

et al. 2024

Applied Sciences

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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.

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Section: Introductionmentioning

confidence: 99%