工业4.0概念的层次模型

Q3 Social Sciences
R. F. Cordeiro, L. Reis, J. Fernandes
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引用次数: 8

摘要

摘要目的:本研究旨在以文献为基础,构建一个整合工业4.0 (I4.0)概念并进行概念标准化的层次模型。原创性/价值:Kamble等人(2018)指出缺乏代表工业4.0概念的架构。本文提出了一种分析工业4.0中这些概念之间关系的方法。它扩展了Ghobakhloo(2018)和Liao等人(2017)的研究,并统一了文献中存在的术语。设计/方法/方法:系统回顾Scopus和ScienceDirect数据库2011 - 2019年的文献,共回顾91篇,其中分析58篇。研究结果:从文献中,与工业4.0相关的术语分为三类:技术、原则和维度。技术集群表示用于促进流程中的变化和转换的工具,这里称为原则。这些变更和转换创建了新的行业标准,支持解决问题的过程集成,并有助于实现智能管理。这些类别之间的关系形成了工业4.0概念的层次模型。这种分层模型可以用来确定未来研究的机会,展示尚未探索的类别之间的联系。它为组织进入第四次工业革命提供了可能性。研究结果有助于从业者和研究人员详细了解这一新工艺,促进构建有效且可运行的智能制造平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Revista de Administracao Mackenzie
Revista de Administracao Mackenzie Social Sciences-Sociology and Political Science
CiteScore
1.30
自引率
0.00%
发文量
28
审稿时长
3 weeks
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