工业4.0技术时代企业管理原则转型趋势分析

Q3 Mathematics
D. Ivanov, Marina Ivanova, B. V. Sokolov
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引用次数: 6

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Transformation Trends in Enterprise Management Principles in the Era of Industry 4.0 Technology
This study is devoted to the existing and future information technology that forms a base for concepts of Industry 4.0 and cyber-physical systems using examples of firms that apply this technology. Examples include manufacturing and transportation companies. The objective of this paper is to analyse the impact of intelligent information technologies in Industry 4.0 and cyber-physical systems on the enterprise management principles in near future. The transformation trends are illustrated on case-study examples. The literature and case-study analysis shows that enterprise management in manufacturing and transportation lacks understanding of Industry 4.0 and cyber-physical systems in terms of application to concrete business models. The reviews cases lead to the conclusion that the Industry 4.0 and cyber-physical technology applications are rather contextual and engineering-oriented. The implementation of the main principle of the Industry 4.0 and cyber-physical technology , i.e., the self-organisation and self-adaption of dynamic networked structures along the entire product lifecycle to ensure the flexible individual manufacturing at the mass production costs, has been yet applied very restrictively and mostly in research projects. The paper presents an original interpretation of the service-oriented approach to modeling and solution of the information technology assessment and selection problems to facilitate a broader application in firms. This approach is based on the structural dynamics control theory developed by the authors.
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来源期刊
SPIIRAS Proceedings
SPIIRAS Proceedings Mathematics-Applied Mathematics
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
14 weeks
期刊介绍: The SPIIRAS Proceedings journal publishes scientific, scientific-educational, scientific-popular papers relating to computer science, automation, applied mathematics, interdisciplinary research, as well as information technology, the theoretical foundations of computer science (such as mathematical and related to other scientific disciplines), information security and information protection, decision making and artificial intelligence, mathematical modeling, informatization.
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