在学术界实施工业实验室和学习型工厂的挑战

R. Marian, D. Campbell, Ziyue Jin, M. Stumptner, J. Chahl
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引用次数: 2

摘要

专业实验室和学习型工厂可以在发展和推进工业4概念和生产系统方面发挥重要作用。然而,在创建具有真正工业4特征的合格实验室之前,还有许多挑战需要解决。其中一些挑战来自工业4的不同定义,来自不同机构和研究小组认为在实验室中实施的关键/微不足道的东西,来自大学的政策和法规,甚至是税收规则。许多挑战来自工业4生态系统的复杂性及其不断演变。本文的目的是对在学术界实施可行的工业4实验室所面临的挑战进行系统的分析。在解决这些挑战之前,需要明确定义它们,并开发相关实验室,以最大限度地提高可能是重大投资的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges in Implementing Industry 4 Laboratories and Learning Factories in Academia
Specialised laboratories and learning factories can play a significant role in developing and advancing the Industry 4 concept and production systems. However, there are many challenges that need to be addressed before creating qualified laboratories that have true Industry 4 characteristics. Some of those challenges originate from the varied definitions of Industry 4, from what different institutions and research groups consider critical/trivial to implement in a laboratory, from Universities' policies and regulations, and even taxation rules. Many challenges derive from the complexity of the Industry 4 eco-system and its continuous evolution. The objective of this paper is to provide a systematic analysis of the challenges in implementing viable Industry 4 laboratories in academia. These challenges need to be defined explicitly before they can be addressed, and relevant laboratories developed to maximise the success of what can be significant investment.
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