Knowledge management on the example of a machine-building enterprise and a higher education institution

Authors

  • Alexey Yu. Sapozhnikov Author
  • Grigory G. Kulikov Author
  • Alexander A. Kuznetsov Author
  • Mikhail V. Yurlov Author

Abstract

Thе article discusses the problem of knowledge management. Meaning of the role of human resources, organizational management and information technologies in efficiency advancement of modern companies is the reason why active research of the knowledge management problem got started in the second half of 1990s. Main aim of knowledge management is to transform knowledge and experience of employees into company capital. Information technologies today are the main drive for transformation of mo¬dern businesses which is the main factor for the fourth industrial revolution INDUSTRY 4.0. This is why today’s goal model of knowledge-intensive industry enterprises contains task of IT solution creation that handles knowledge management. Aim: creating a metamodel of knowledge management system (KMS) using TOGAF methodology. Developing a KMS architecture for it to be used on industrial enterprise and higher education institution. Research methods used: complex approach and structural analysis of the process of system design using SADT (Structured Analysis and Design Technique) and TOGAF (The Open Group Architecture Framework) methodologies. Results. Developed metamodel of KMS architecture shows application of SADT and TOGAF methodologies on a given subject area in order to create knowledge ma-nagement system of industrial enterprise and higher education institution. Developed functional model describes mechanism of how knowledge is collected and formalized in form of hypertext and productional knowledge bases when conducting collaborative projects and their transfer to industries KMS. Conclusion. Developed productional rules allow integration of organizational and functional structure of enterprise and higher education institution from point of advancing IT efficiency, to create a central intelligent sphere when conducting collaborative projects, to allow knowledge collection at local knowledge management systems and to transfer this knowledge in industry enterprises.

Author Biographies

  • Alexey Yu. Sapozhnikov
    Cand. Sci. (Eng.), Ass. Prof. of the Department of IT in Mechanical Engineering
  • Grigory G. Kulikov
    Technical Director
  • Alexander A. Kuznetsov
    Postgraduate Student of the Department of Automated Control Systems
  • Mikhail V. Yurlov
    Master's student of the Department of Automated Control Systems

Published

2022-05-17

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