Knowledge Management Models for the Smart Factory: A Comparative Analysis of Current Approaches

Patrick Tinz, Janik Tinz, Stefan Zander
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引用次数: 4

Abstract

This paper analyses current and well-known knowledge management models regarding their applicability to smart factories and the Industry 4.0. In form of a literature study, we surveyed the specific challenges and requirements that smart factories and the ongoing digital transition in the industrial sector introduce to knowledge management systems and models. In the second part, we then expound the extent to which those requirements are supported by well-established knowledge management models in form of a comparative analysis. A central result of this work is that an Industry 4.0 compliant knowledge management needs to incorporate aspects that emphasize human-machine and machine-machine interaction together with data protection and privacy concerns, besides other well-researched and established aspects.
智能工厂的知识管理模型:当前方法的比较分析
本文分析了当前和知名的知识管理模型对智能工厂和工业4.0的适用性。以文献研究的形式,我们调查了智能工厂和工业部门正在进行的数字化转型给知识管理系统和模型带来的具体挑战和要求。在第二部分中,我们以比较分析的形式阐述了这些需求在多大程度上得到了完善的知识管理模型的支持。这项工作的一个核心结果是,符合工业4.0的知识管理需要结合强调人机和机器-机器交互以及数据保护和隐私问题的方面,以及其他经过充分研究和建立的方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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