A Bibliometric and Topic Analysis on Future Competences at Smart Factories

Jerman, Andrej; Bach, Mirjana Pejić; Bertoncelj, Andrej

doi:10.3390/machines6030041

Cited by 39 publications

(24 citation statements)

References 37 publications

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“…Different software, such as Microsoft Excel (for statistical analysis), Citespace, VOSviewer, nodeXL, Pajek, Gephi, and many others, have been used in network examination, representation, and the improved comprehension of large quantities of information and data through exploratory approaches. VOSviewer programming was utilized in this investigation [55,86,88]. VOSviewer programming has become relevant and undergone improved utilization among scientists in business, particularly for use in graphical and metadata metric studies; for instance, VOSviewer can utilize various data sets in a similar report.…”

Section: Requisite Tools For Bibliometric Analysismentioning

confidence: 99%

Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis

et al. 2021

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The Fourth Industrial Revolution drives industries from traditional manufacturing to the smart manufacturing approach. In this transformation, existing equipment, processes, or devices are retrofitted with some sensors and other cyber-physical systems (CPS), and adapted towards digital production, which is a blend of critical enabling technologies. In the current scenario of Industry 4.0, industries are shaping themselves towards the development of customized and cost-effective processes to satisfy customer needs with the aid of a digital twin framework, which enables the user to monitor, simulate, control, optimize, and identify defects and trends within, ongoing process, and reduces the chances of human prone errors. This paper intends to make an appraisal of the literature on the digital twin (DT) framework in the domain of smart manufacturing with the aid of critical enabling technologies such as data-driven systems, machine learning and artificial intelligence, and deep learning. This paper also focuses on the concept, evolution, and background of digital twin and the benefits and challenges involved in its implementation. The Scopus and Web of Science databases from 2016 to 2021 were considered for the bibliometric analysis and used to study and analyze the articles that fall within the research theme. For the systematic bibliometric analysis, a novel approach known as Proknow-C was employed, including a series of procedures for article selection and filtration from the existing databases to get the most appropriate articles aligned with the research theme. Additionally, the authors performed statistical and network analyses on the articles within the research theme to identify the most prominent research areas, journal/conference, and authors in the field of a digital twin. This study identifies the current scenarios, possible research gaps, challenges in implementing DT, case studies and future research goals within the research theme.

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Section: Requisite Tools For Bibliometric Analysismentioning

confidence: 99%

Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis

et al. 2021

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“…Para el caso de los profesionales del área de ingeniería, Jerman et al (2018) y Terrés et al (2017) mencionan que las principales competencias con respecto a experiencia y uso de tecnología en la Industria 4.0 son: desarrollo de sistemas, integración de tecnologías heterogéneas, tecnologías móviles, sensores/sistemas embebidos, tecnología de red/Comunicación M2M (Máquina a Máquina), robótica/inteligencia artificial, ciencias computacionales y mantenimiento predictivo.…”

Section: Competencias En La Industria 40unclassified

Competencias del ingeniero industrial en la Industria 4.0

Hernández

Macías

2020

REDIE

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El contexto actual de la Industria 4.0 está cambiando la formación de los ingenieros, de tal forma que las universidades implementan estrategias y acciones para adaptar los planes de estudio a los requisitos de la nueva revolución industrial. En este trabajo se realizó una investigación cualitativa de carácter bibliográfico y documental para identificar las principales competencias que debe desarrollar un ingeniero industrial, posteriormente se realizó un análisis curricular tomando como ejemplo a una universidad mexicana incluida en el Ranking Mundial de Universidades 1001+. Los resultados muestran que se deben desarrollar competencias específicas basadas en las Tecnologías de la Información y la Comunicación, como big data, Internet de las cosas y Simulación, con el propósito de interactuar en los ambientes inteligentes que propone la Industria 4.0.

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“…Most of the scientific literature described I4.0 primarily from a technical point of view [2], but there are less researched topics like organizational management [3][4][5], as well as the ecological and social aspects within I4.0. Researchers such as Birkel et al [6] point out that there are still rare integrative researches of economic, ecological, and social aspects.…”

Section: Introductionmentioning

confidence: 99%

The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice

et al. 2020

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(1) Background: The article provides a methodologically coherent analysis of technological development in the context of the fourth industrial revolution or Industry 4.0 and its impact on changes in sustainable development policy. (2) Methods: Using a Comparative Automated Content Analysis (ACA) approach, the article compares recent scientific work on sustainable development and the fourth industrial revolution with the discourse in the news media on sustainable development and industry 4.0. (3) Results: The scientific literature focuses more on changes in business models, production processes, and technologies that enable sustainable development. Newspaper and magazine articles write more about sustainable or green investments, sustainable standards, and sustainable reporting. The focus is on topics that are directly relevant to current sustainable business development and the promotion of research and development of clean and smart technologies and processes. (4) Conclusions: The ACA allows a more systematic comparison of different data sources. The article provides a starting point for sustainable development professionals to gain useful insights into a specific context with the help of the ACA.

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A Bibliometric and Topic Analysis on Future Competences at Smart Factories

Cited by 39 publications

References 37 publications

Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis

Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis

Competencias del ingeniero industrial en la Industria 4.0

The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice

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