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A framework for the prioritization of industry 4.0 and lean manufacturing technologies based on network theory

Gabriel Bertholdo Vargas (Instituto Tecnológico de Aeronáutica, São José Dos Campos, Brazil)
Jefferson de Oliveira Gomes (Instituto Tecnológico de Aeronáutica, São José Dos Campos, Brazil)
Rolando Vargas Vallejos (Universidade Federal de Goiás, Goiânia, Brazil)

Journal of Manufacturing Technology Management

ISSN: 1741-038X

Article publication date: 20 November 2023

Issue publication date: 2 January 2024

367

Abstract

Purpose

The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate its applicability and practical relevance through two case studies of manufacturing firms of different industrial segments.

Design/methodology/approach

The proposed framework is based on network theory applied on technology adoption. For this, the database of Industry 4.0 maturity assessments of SENAI was used to develop data visualization tools named “Technology Networks”. Thus, this study is descriptive research with correlational design. Besides, the framework was applied in two companies and semi-structured interviews were carried out with domain experts.

Findings

The technology networks highlight the technological adoption patterns of six industrial segments, by considering the answers of 863 Brazilian companies. In general, less sophisticated technologies were positioned in the center of the networks, which facilitates the visualization of adoption paths. Moreover, the networks presented a well-balanced adoption scenario of Industry 4.0 related technologies and lean manufacturing methods and tools.

Research limitations/implications

Since the database was not built under an experimental design, it is not expected to make statistical inferences about the variables. Furthermore, the decision to use an available database prevented the editing or inclusion of technologies. Besides, it is estimated that the technology networks given have few years for obsolescence due to the fast pace of technological development.

Practical implications

The framework is a tool that may be used by practicing manufacturing managers and entrepreneurs for taking assertive decisions regarding the adoption of manufacturing technologies, methods and tools. The proposition of using network theory to support decision making on this topic may lead to further studies, developments and adaptations of the framework.

Originality/value

This paper addresses the topics of lean manufacturing and Industry 4.0 in an unprecedented way, by quantifying the adoption of its technologies, methods and tools and presenting it in network visualizations. The main value of this paper is the comprehensive framework that applies the technology networks for supporting decision making regarding technology adoption.

Keywords

Acknowledgements

The authors thank SENAI for the opportunity to access the “Maturity Assessment: Industry 4.0” database, as well as the participating companies and interviewees for their valuable contributions to this work.

Citation

Vargas, G.B., Gomes, J.d.O. and Vargas Vallejos, R. (2024), "A framework for the prioritization of industry 4.0 and lean manufacturing technologies based on network theory", Journal of Manufacturing Technology Management, Vol. 35 No. 1, pp. 95-118. https://doi.org/10.1108/JMTM-03-2023-0114

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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