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Criteria of Evaluation of Effectiveness of Industry 4.0 from the Position of Stimulating the Development of Knowledge Economy

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Industry 4.0: Industrial Revolution of the 21st Century

Abstract

The purpose of this chapter is to determine the criteria for evaluating the effectiveness of Industry 4.0 from the point of view of stimulating the development of knowledge economy and to develop methodological basis for this evaluation. As Industry 4.0 is at the stage of formation, the object of evaluation is the process of development of Industry 4.0—i.e., analysis is conducted in dynamics, which allows—at the initial stages of formation of Industry 4.0—conducting evaluation of its effectiveness from the point of view of stimulation of development of knowledge economy. The methodological basis of this research is the classical method of evaluation of effectiveness of socio-economic phenomena and processes. According to this method, effectiveness is determined through finding the ratio of aggregate results to aggregate expenditures for their achievement, including negative “side effects”. Based on the classical method of evaluation of effectiveness, the proprietary method of evaluation of effectiveness of Industry 4.0 from the point of view of stimulating the development of knowledge economy has been developed. This method takes into account the peculiarities of Industry 4.0 and interprets its profits and expenditures through the prism of knowledge economy. The results of the performed research show the potential positive influence of the process of Industry 4.0 formation on development of knowledge economy. The offered methodological recommendations and justified criteria of evaluation of effectiveness of Industry 4.0 from the position of stimulating the development of knowledge economy contribute into formation of methodological basis of studying mutual influence of these phenomena. Advantages of the offered methodological recommendations are their universality—possibility to use them in any economic system; systemic and complex character—consideration of all aspects of potential influence of the process of Industry 4.0 formation on development of knowledge economy; vividness and wide possibilities for analysis of causal connections due to the possibility for considering each estimate criterion separately and conducting factor analysis.

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References

  • Ballo, F., Frizzi, R., Gobbi, M., …, Previati, G., Sorlini, C. (2017). Numerical and experimental study of radial impact test of an aluminum wheel—Towards industry 4.0 virtual process assessment. In Proceedings of the ASME Design Engineering Technical Conference, 3.

    Google Scholar 

  • Chang, H.-F., Chang, C.-P., Lin, W.-T., & Li, Y. G. (2017). A study of application of assessment modes in development of smart automatic production systems in Industry 4.0. In 2016 International Conference on Fuzzy Theory and Its Applications, iFuzzy 2016, 8004967.

    Google Scholar 

  • Cotet, G. B., Balgiu, B. A., & Negrea, V.-C. Z. (2017). Assessment procedure for the soft skills requested by Industry 4.0. In MATEC Web of Conferences, 121, 07005.

    Article  Google Scholar 

  • Gökalp, E., Şener, U., & Eren, P. E. (2017). Development of an assessment model for industry 4.0: Industry 4.0-MM. Communications in Computer and Information Science, 770, 128–142.

    Article  Google Scholar 

  • Jentsch, D., Riedel, R., Jäntsch, A., & Müller, E. (2013). Factory audit for industry 4.0—Strategic approach for capability assessment and gradual introduction of a smart factory | [Fabrikaudit Industrie 4.0: Strategischer Ansatz zur Potenzialermittlung und schrittweisen Einführung einer Smart Factory]. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 108(9), 678–681.

    Article  Google Scholar 

  • Majeed, M. A. A., & Rupasinghe, T. D. (2017). Internet of things (IoT) embedded future supply chains for industry 4.0: An assessment from an ERP-based fashion apparel and footwear industry. International Journal of Supply Chain Management, 6(1), 25–40.

    Google Scholar 

  • Queiruga-Dios, A., Bullón Pérez, J., Hernández Encinas, A., …, Martín Del Rey, A., Martín-Vaquero, J. (2017). Case study: Engineering education, Industry 4.0, security, and competencies-based assessment. In Proceedings of the 45th SEFI Annual Conference 2017—Education Excellence for Sustainability, SEFI 2017, pp. 1410–1416.

    Google Scholar 

  • Santos, K., Loures, E., Piechnicki, F., & Canciglieri, O. (2017). Opportunities assessment of product development process in Industry 4.0. Procedia Manufacturing, 11, 1358–1365.

    Article  Google Scholar 

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Acknowledgements

The reported study was funded by the RFBR according to the research project No. 18-010-00103 A.

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Correspondence to Tatiana N. Litvinova .

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Litvinova, T.N., Morozova, I.A., Pozdnyakova, U.A. (2019). Criteria of Evaluation of Effectiveness of Industry 4.0 from the Position of Stimulating the Development of Knowledge Economy. In: Popkova, E., Ragulina, Y., Bogoviz, A. (eds) Industry 4.0: Industrial Revolution of the 21st Century. Studies in Systems, Decision and Control, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-94310-7_10

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