A hierarchical model for industry 4.0 concepts

Abstract

Purpose: This research aims to structure a hierarchical model that integrates the industry 4.0 (I4.0) concepts and standardizes concepts based on the literature. Originality/value: Kamble et al. (2018) point out the lack of architecture to represent I4.0 concepts. This paper brings an approach to the relationship between these concepts of I4.0. It expands the studies by Ghobakhloo (2018) and Liao et al. (2017) and homogenizes terms present in the literature. Design/methodology/approach: From a systematic review of the literature in the Scopus and ScienceDirect databases, from 2011 to 2019, 91 articles were reviewed, of which 58 articles were analyzed. Findings: From the literature, the terms related to I4.0 were grouped into three categories: technologies, principles, and dimensions. Technology clusters represent tools used to promote changes and transformations in the processes, here called principles. These changes and transformations create new industry standards, enabling process integration for problem-solving, and contributing to implementing intelligent management. The relationship between these categories results in a hierarchical model for I4.0 concepts. This hierarchical model can be used to identify opportunities for future research, demonstrating associations between categories that have not yet been explored. It opens possibilities for organizations to enter the fourth industrial revolution. The results help practitioners and researchers to understand this new process in detail and facilitate the construction of a valid and operational intelligent manufacturing platform.

A study on the barriers that impact the adoption of Industry 4.0 in the context of Brazilian companies

“…In the early stages of the technology adoption process, it is often cumbersome to combine certain process configurations. Therefore, for a company to be considered to be in the process of adoption, it must have implemented and experimented with the Technologies and created incentive systems that guarantee the continuation of these The adoption of Industry 4.0 tools (Cordeiro et al, 2023;Carvalho de S a et al, 2022;Genest and Gamache, 2020). Dalenogare et al (2018) corroborate these statements by formulating the factors that affect the adoption and diffusion of an innovation.…”

“…I4.0 adoption improves operational performance as well as supply chain competence (Chauhan et al, 2021;Cugno et al, 2021;Fernandes et al, 2021). The adoption of technologies allows companies to improve their production capabilities and operations management to compete globally (Cordeiro et al, 2023;Carvalho de S a et al, 2022;Elhusseiny and Crispim, 2022;Fernandes et al, 2017).…”

“…In the early stages of the technology adoption process, it is often cumbersome to combine certain process configurations. Therefore, for a company to be considered to be in the process of adoption, it must have implemented and experimented with the Technologies and created incentive systems that guarantee the continuation of these tools (Cordeiro et al. , 2023; Carvalho de Sá et al.…”

“…, 2021). The adoption of technologies allows companies to improve their production capabilities and operations management to compete globally (Cordeiro et al. , 2023; Carvalho de Sá et al.…”

The applicability of advanced technologies from the traditional industry to mitigate ergonomic problems in maintenance activities in the mining industry

“…I4.0 technologies are applied in different manufacturing contexts (Cordeiro et al. , 2023a, b), in the supply chain (Carvalho de Sá et al.…”