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Article
Publication date: 4 March 2021

Michele Kremer Sott, Leonardo B. Furstenau, Liane Mahlmann Kipper, Yan Pablo Reckziegel Rodrigues, José Ricardo López-Robles, Fáber D. Giraldo and Manuel J. Cobo

The purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart…

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Abstract

Purpose

The purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart factories. The study also presents the growth of the field of study worldwide, the perspectives, main challenges, trends and suggestions for future works.

Design/methodology/approach

To do this, a science mapping was performed using the software SciMAT, supported by VOS viewer.

Findings

The results show that the Business Process Model and Notation (BPMN), Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing. The authors also highlighted the need to develop new languages or extensions capable of representing the dynamism, interoperability and multiple technologies of smart factories.

Originality/value

It was possible to identify the most used process modeling languages in smart environments and understand how these languages assist control and manage smart processes. Besides, the authors highlighted challenges, new perspectives and the need for future works in the field.

Details

Business Process Management Journal, vol. 27 no. 5
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 11 May 2022

Eduardo Baldo Moraes, Liane Mahlmann Kipper, Ana Clara Hackenhaar Kellermann, Leonardo Austria, Pedro Leivas, Jorge André Ribas Moraes and Marcus Witczak

The purpose of this study is to identify the uses of Industry 4.0 technologies in the area of education and how they contribute to learning in addition to highlighting at what…

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Abstract

Purpose

The purpose of this study is to identify the uses of Industry 4.0 technologies in the area of education and how they contribute to learning in addition to highlighting at what educational level they are used.

Design/methodology/approach

A systematic literature review was carried out in the Scopus (Elsevier), Web of Science and ScienceDirect (Elsevier) databases, starting in 2011. In total, 51 articles were selected for a quantitative analysis, and 23 of them were read to answer the questions of the research from a qualitative analysis.

Findings

The results show a greater use of augmented reality, simulation, Internet of Things and virtual reality. The level of education at which they are most present is higher education. They collaborate to increase immersion in content, student engagement, interpersonal interaction, reduce costs and risks, simulate real work scenarios, expand study possibilities, without limited time and space, develop soft skills and learn about technologies, their uses and modes of operation. It is concluded that the technologies of Industry 4.0 support the entire learning process, but they are not used as much as they should. They are still largely restricted to universities and courses related to manufacturing. It is hoped that this work can contribute to the development of Education 4.0 at all stages of teaching.

Originality/value

Reviews have already been carried out on the use of technologies in teaching. The originality of this work is in the fact that it focuses on Industry 4.0 technologies in the Education 4.0 scenario.

Details

Interactive Technology and Smart Education, vol. 20 no. 2
Type: Research Article
ISSN: 1741-5659

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