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Industry 4.0 collaborative networks for industrial performance
Journal of Manufacturing Technology Management ( IF 7.3 ) Pub Date : 2020-11-10 , DOI: 10.1108/jmtm-04-2020-0156
Leonardo Moraes Aguiar Lima Dos Santos , Matheus Becker da Costa , João Victor Kothe , Guilherme Brittes Benitez , Jones Luís Schaefer , Ismael Cristofer Baierle , Elpidio Oscar Benitez Nara

Purpose

Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated to achieve better results. Based on this, we propose several collaborative networks combining technologies associated with Industry 4.0.

Design/methodology/approach

A literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0. We examined these technologies using hierarchical cluster analysis and principal components analysis, based on their characteristics.

Findings

The study identified big data, cloud computing, the internet of Things and cyber-physical systems as key technologies for Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance. We found five collaborative networks with distinct goals in the context of Industry 4.0: (1) smart manufacturing; (2) technological platforms; (3) market reactiveness; (4) smart products and (5) flexibility.

Practical implications

The findings allowed us to create five pathways for future work on Industry 4.0 technologies via collaborative networks. In practice, this will help managers to improve their focus on priorities regarding the implementation of Industry 4.0 technologies.

Originality/value

This study provides insights into how to establish links between technologies through collaborative networks for certain purposes. In addition, we propose five future directions for these collaborative networks that require further investigation by researchers.



中文翻译:

工业4.0工业绩效协作网络

目的

尽管先前的研究已经确定了几种与工业4.0相关的技术及其各自的潜力,但仍不清楚如何将这些技术集成以获得更好的结果。基于此,我们提出了几个结合了与工业4.0相关的技术的协作网络。

设计/方法/方法

使用研究模型进行了文献综述,以支持对与工业4.0相关的关键和协作技术的评估和识别。基于它们的特征,我们使用层次聚类分析和主成分分析来检查这些技术。

发现

研究确定大数据,云计算,物联网和网络物理系统是工业4.0的关键技术,另外八种与工业绩效密切相关的协作技术。我们在工业4.0的背景下发现了五个具有不同目标的协作网络:(1)智能制造;(2)技术平台;(3)市场反应性;(4)智能产品和(5)灵活性。

实际影响

这些发现使我们能够通过协作网络为工业4.0技术的未来工作创造五种途径。在实践中,这将帮助管理人员提高对工业4.0技术实施重点的关注。

创意/价值

这项研究提供了有关如何出于特定目的通过协作网络在技术之间建立链接的见解。此外,我们为这些协作网络提出了五个未来方向,需要研究人员进行进一步调查。

更新日期:2020-11-10
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