Industry 4.0 is a concept aimed at achieving the integration of physical parts of the manufacturing process (i.e., complex machinery, various devices, and sensors) and cyber parts (i.e., advanced software) via networks and driven by Industry 4.0 technology categories used for prediction, control, maintenance, and integration of manufacturing processes. Industry 4.0, which is expected to have a great impact on manufacturing systems in the future, is attracting attention in both industry and academia. Although academic research on Industry 4.0 is growing exponentially, evidence of Industry 4.0 implementation in practice is still scarce. Moreover, the challenges industry faces when implementing the Industry 4.0 concept seem to be even less addressed. At the start of the present survey, a preliminary literature review identified a lack of comprehensive analysis of the Industry 4.0 implementation challenges. Thus, the purpose of the present article is to provide an overview of the reported Industry 4.0 implementation challenges in the relevant literature by conducting a systematic literature review. Specifically, while the present study differentiates between managerial and technological Industry 4.0 implementation challenges, the focus of the present article is on the managerial Industry 4.0 implementation challenges. This overview is performed by deriving an inductively coded Industry 4.0 technology framework that classifies Industry 4.0 technologies into ten categories: cyber physical systems, Internet of Things, big data analytics, cloud computing, fog and edge computing, augmented and virtual reality, robotics, cyber security, semantic web technologies, and additive manufacturing. The present article identifies, codes, and defines the managerial Industry 4.0 implementation challenges and derives opportunities for overcoming them.

中文翻译：

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工业4.0实施的挑战与机遇：管理视角

工业4.0是一个概念，旨在通过网络实现制造过程中的物理部分（即复杂的机械，各种设备和传感器）和网络部件（即高级软件）的集成，并由用于预测的工业4.0技术类别驱动，控制，维护和制造过程的集成。有望在未来对制造系统产生巨大影响的工业4.0在业界和学术界都引起了关注。尽管有关工业4.0的学术研究呈指数级增长，但实际上仍缺乏有关工业4.0实施的证据。此外，在实施“工业4.0”概念时行业所面临的挑战似乎甚至没有得到解决。在本次调查开始时，初步的文献综述指出，缺乏对工业4.0实施挑战的全面分析。因此，本文的目的是通过进行系统的文献综述，对相关文献中所报告的Industry 4.0实施挑战进行概述。具体而言，尽管本研究区分了管理和技术工业4.0实施方面的挑战，但本文的重点是管理工业4.0实施方面的挑战。此概述是通过归纳编码的工业4.0技术框架得出的，该框架将工业4.0技术分为十类：网络物理系统，物联网，大数据分析，云计算，雾和边缘计算，增强和虚拟现实，机器人技术，网络安全，语义Web技术和增材制造。本文确定，编码和定义了管理工业4.0实施方面的挑战，并提供了克服这些挑战的机会。