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The Merging of Knowledge Management and New Information Technologies

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Collaborative Knowledge Management Through Product Lifecycle

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Abstract

The integration of new information technologies and manufacturing systems provides a driving force for the promotion of a new paradigm of knowledge management. In this chapter, the transformation of knowledge management surrounding the new technologies including the big data, internet of things, digital twins (DT), cyber physical systems (CPS) and digital factory are introduced. Big data provides the bases on knowledge acquisition, and it also provides the method for the capture and retrieval of knowledge from huge data. In the IoT context, knowledge management has the opportunity and the capability to collect data from various devices and then more knowledge can be created from fields, which promote the application of knowledge management in practical industries. Data model and knowledge base in the cyber domain of DT and CPS is the central part of intelligent decisions. The acquisition, reuse and evolution of knowledge are important means for digital factories to become intelligent. The integrations of these information technologies and knowledge management are also demonstrated from different aspects in this chapter.

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Author information

Authors and Affiliations

  1. ZJU-UIUC Joint Institute, Zhejiang University, Haining, Zhejiang, China

    Hongwei Wang

  2. National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Bei**g, Bei**g, China

    Gongzhuang Peng

Authors
  1. Hongwei Wang
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  2. Gongzhuang Peng
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Correspondence to Hongwei Wang .

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Wang, H., Peng, G. (2023). The Merging of Knowledge Management and New Information Technologies. In: Collaborative Knowledge Management Through Product Lifecycle. Springer, Singapore. https://doi.org/10.1007/978-981-19-9626-9_6

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  • DOI: https://doi.org/10.1007/978-981-19-9626-9_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9625-2

  • Online ISBN: 978-981-19-9626-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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