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Methodology for assessing the effectiveness of innovations, robotization and automation in the automotive industry

https://doi.org/10.46914/1562-2959-2024-1-3-312-322

Abstract

The current trend in the automotive industry confirms that innovation and process automation are increasingly helping the industry’s development and economic growth. In addition to the digitalisation of society, new technologies are also being actively developed. The economic development of a country is inextricably linked to the development of process innovation, process automation and robotisation. In this paper, the theoretical background of innovation approaches in the automotive industry and performance evaluation methodologies have been discussed. Industrial robots and robotic technological complexes, which are universally used in industry, have existed for about 50 years and at the present moment of time replace humans and displace them from the sphere of production to the sphere of services and control. To ensure balanced economic development, the Government of the Republic of Kazakhstan closely monitors the main economic sectors and endeavours to support domestic manufacturers in every possible way. The automobile industry is no exception. The purpose of this article is to conduct a brief theoretical review of the state of the automobile industry, as well as to study foreign experience. We have studied the methodology of economic efficiency assessment. The study showed that innovation, robotisation and automation undoubtedly lead to the economic development of both regions and the country as a whole.

About the Authors

R. A. Alshanov
Turan University
Kazakhstan

D.e.s., professor.

Almaty



G. G. Jamalova
Turan University
Kazakhstan

PhD student.

Almaty



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Review

For citations:


Alshanov R.A., Jamalova G.G. Methodology for assessing the effectiveness of innovations, robotization and automation in the automotive industry. Bulletin of "Turan" University. 2024;(3):312-322. (In Kazakh) https://doi.org/10.46914/1562-2959-2024-1-3-312-322

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ISSN 1562-2959 (Print)
ISSN 2959-1236 (Online)