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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Speeding Up the Implementation of Industry 4.0 with Management Tools: Empirical Investigations in Manufacturing Organizations
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Speeding Up the Implementation of Industry 4.0 with Management Tools: Empirical Investigations in Manufacturing Organizations

机译：使用管理工具加速工业4.0的实施：制造组织的实证研究

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The main purpose of this study is to examine how the use of management tools supports the readiness of manufacturing organizations for the implementation of Industry 4.0. The originality of the research is reflected in the exploration of the relationship between the use of the selected well-known management tools and their readiness for the implementation of Industry 4.0, which was assessed using a combination of two models—one developed by the National Academy of Science and Engineering (Acatech) and the other by the University of Warwick. The relationship was assessed by applying structural equation modeling techniques to a data set of 323 responses from employees in manufacturing organizations. The results show that the use of six sigma, total quality management, radio frequency identification, a balanced scorecard, rapid prototyping, customer segmentation, mission and vision statements, and digital transformation is positively associated with Industry 4.0 readiness. Inversely, outsourcing and strategic planning are negatively associated with Industry 4.0 readiness, while lean manufacturing, which is often emphasized as the cornerstone of Industry 4.0 implementation, is not associated with Industry 4.0 readiness in our study. These findings can help organizations to understand how to consider and measure readiness for the implementation of Industry 4.0 more comprehensively and present guidelines on how the use of management tools in manufacturing organizations can foster their implementation of Industry 4.0 principles.
机译：本研究的主要目的是检验管理工具的使用如何支持制造组织为实施工业4.0做好准备。这项研究的独创性体现在对选定的知名管理工具的使用与它们为实施工业4.0做好准备之间的关系的探索中，该关系是使用两种模型（由美国国家科学院开发）的组合进行评估的华威大学（University of Warwick）拥有科学与工程学（Acatech）学位。通过将结构方程建模技术应用于来自制造组织员工的323个响应的数据集来评估这种关系。结果表明，使用6 sigma，全面质量管理，射频识别，平衡记分卡，快速原型设计，客户细分，使命和愿景声明以及数字化转型与工业4.0的准备度正相关。相反，外包和战略规划与工业4.0的准备程度呈负相关，而精益制造（通常被强调为工业4.0实施的基石）在我们的研究中与工业4.0的准备程度无关。这些发现可以帮助组织理解如何更全面地考虑和衡量为工业4.0的实施做好准备，并提出有关在制造组织中使用管理工具如何促进其工业4.0原则的实施的准则。

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