工业4.0
供应链
计算机科学
范围(计算机科学)
背景(考古学)
云制造
云计算
新兴技术
分析
大数据
制造工程
过程管理
数据科学
业务
工程类
嵌入式系统
古生物学
人工智能
营销
程序设计语言
操作系统
生物
作者
Ting Zheng,Marco Ardolino,Andrea Bacchetti,Marco Perona
标识
DOI:10.1080/00207543.2020.1824085
摘要
Industry 4.0 (I4.0) encompasses a plethora of digital technologies effecting on manufacturing enterprises. Most research on this topic examines the effects in the smart factory domain, focusing on production scheduling. However, there is still a lack of comprehensive research on the applications of I4.0 enabling technologies in manufacturing life-cycle processes. This paper is thus intended to provide a systematic literature review answering the following research question: What are the applications of I4.0 enabling technologies in the business processes of manufacturing companies? The study analyses 186 articles and the results show that production scheduling and control is the process most often investigated, while there is also an increasing trend in servitization and circular supply chain management. Moreover, there is extensive combined use of IoT, Big Data Analytics and Cloud, whose applications cover a wide range of processes. On the contrary, other technology like Blockchain is not as widely discussed in the domain of I4.0. This picture calls for a future research agenda extending the scope of investigation into I4.0 in manufacturing. Furthermore, the results of this research can prove extremely useful for practitioners who wish to implement one or more technologies, providing them with solutions for applications in manufacturing.
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