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Knowledge Management 4.0: Theoretical and Practical Considerations in Cyber Physical Production Systems

机译:知识管理4.0:网络物理生产系统中的理论和实践考虑

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Knowledge Management in the era of Industry 4.0 (KM 4.0) in both human- and technology-oriented perspectives is a strategic and operational function comprising exploration and exploitation processes. It is responsible to accomplish two major tasks. First, KM 4.0 should continuously support value generation through enhancing and balancing need- or opportunity-driven knowledge generation and knowledge utilization capacities. Second, KM 4.0 should persistently facilitate developing and protecting human-machine collective intelligence across manufacturing enterprises and in particular smart factories. Hence, KM 4.0 is an enabler to maximize competitive advantages and derive business values in the manufacturing enterprises. The revival of AI and emergence of autonomous and learnable technologies challenge the unique role of human as a knowledge actor, decision-maker, problem-solver and learner. What are the considerations on rethinking KM approaches in relation to the march of technological enhancements? This paper proposes a definition and discusses the theoretical foundation of KM 4.0 as well as related practical aspects that should be taken into consideration, especially in dynamic, data-driven and hybrid human-machine working environments in smart factories.
机译:从以人为本和以技术为导向的角度来看,工业4.0(KM 4.0)时代的知识管理是一项战略和运营功能,包括勘探和开发过程。它负责完成两项主要任务。首先,KM 4.0应该通过增强和平衡由需求或机会驱动的知识生成和知识利用能力来持续支持价值生成。其次,KM 4.0应该持续地促进在制造企业尤其是智能工厂中开发和保护人机集体智能。因此,KM 4.0可以最大程度地提高竞争优势并在制造企业中获得商业价值。人工智能的复兴以及自主和可学习技术的出现,挑战了人类作为知识参与者,决策者,解决问题者和学习者的独特作用。与技术进步有关,重新考虑知识管理方法有哪些考虑因素?本文提出了一个定义,并讨论了KM 4.0的理论基础以及应考虑的相关实际方面,尤其是在智能工厂中动态,数据驱动和混合人机工作环境中。

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