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On Systemological Approach to Intelligent Decision-Making Support in Industrial Cyber-Physical Systems

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Cyber-Physical Systems: Industry 4.0 Challenges

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 260))

Abstract

The presented study solves the actual scientific and technical problem of developing a new approach related to the creation of models, methods, and algorithms, as well as an application development platform for intelligent decision support in man-aging the process of maintenance, repair and upgrading to increase the efficiency of industrial equipment at all stages life cycle. Systematization of tasks, methods and means of maintenance and repair of Industrial Cyber-Physical Systems in the light of the equipment life cycle was build. Input effects and response systems, components, internal communications was identified. Systemological model of the process of maintenance and repair was formalized. To improve the efficiency of maintenance and repair, a method of continuous improvement of the process of maintenance and repair of the maintenance program has been developed. As a result of approbation, an increase in the efficiency and quality of equipment maintenance, a reduction in costs up to 15%, and an increase in the overall efficiency of the organization of maintenance and repair processes up to 20% were obtained, which is confirmed by the implementation certificates.

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Acknowledgements

This research was supported by the Russian Fund of Basic Research (grant No. 19-07-01200).

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Authors and Affiliations

  1. Volgograd State Technical University, Lenin av., 28, Volgograd, 400005, Russian Federation

    Alexey V. Kizim & Alla G. Kravets

Authors
  1. Alexey V. Kizim
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  2. Alla G. Kravets
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Correspondence to Alexey V. Kizim .

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Editors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Alexander A. Bolshakov

  3. Volgograd State Technical University, Volgograd, Russia

    Maxim V. Shcherbakov

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Kizim, A.V., Kravets, A.G. (2020). On Systemological Approach to Intelligent Decision-Making Support in Industrial Cyber-Physical Systems. In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Industry 4.0 Challenges. Studies in Systems, Decision and Control, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-32648-7_14

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  • DOI: https://doi.org/10.1007/978-3-030-32648-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32647-0

  • Online ISBN: 978-3-030-32648-7

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