Implementation of innovative technologies based on automation and robotization of production of industrial business structures
https://doi.org/10.35854/1998-1627-2025-8-1079-1090
Abstract
Aim. The work aimed to study approaches to the implementation of innovative technologies based on automation and robotization in the production processes of industrial enterprises.
Objectives. The work seeks to analyze the key factors influencing the efficiency of automation and robotization, including the use of digital technologies (artificial intelligence, the Internet of things); to discuss the results of implementation of industrial robots in the economies of leading regions; to propose practical recommendations for the integration of robotic systems.
Methods. The authors used system analysis and generalization to study the approaches and practical experience of implementing automation and robotization in industrial production processes.
Results. It was established that the key results of the implementation of automation and robotization include optimization of business processes, increased productivity, cost reduction, and ensuring the competitiveness of industrial structures. Based on the analysis, practical recommendations are proposed for the integration of robotic systems into the existing infrastructure, personnel training, and adaptation of management decisions.
Conclusions. A comprehensive study of approaches to automation, analysis of key factors and experience of leading regions enable to form a systemic view of the process of implementing innovative technologies. This will create the basis for developing practical recommendations aimed at increasing the efficiency and competitiveness of industrial enterprises in modern conditions.
About the Authors
N. V. LyasnikovRussian Federation
Nikolay V. Lyasnikov, D.Sc. in Economics, Professor, Professor at the Department of Quality Management of the Institute of Management, chief researcher
82 Vernadskogo Ave., bldg. 1, Moscow 119571
47 Nakhimovskiy Ave., Moscow 117418
Competing Interests:
the authors declare no conflict of interest related to the publication of this article.
Y. V. Lyasnikova
Russian Federation
Yuliya V. Lyasnikova, PhD in Sociological Sciences, Associate Professor, Associate Professor at the Department of Quality Management of the Institute of Management
82 Vernadskogo Ave., bldg. 1, Moscow 119571
Competing Interests:
the authors declare no conflict of interest related to the publication of this article.
S. S. Serebrennikov
Russian Federation
Sergey S. Serebrennikov, D.Sc. in Economics, Professor, Dean of the Faculty of Management and Innovation of the Institute of Management
82 Vernadskogo Ave., bldg. 1, Moscow 119571
Competing Interests:
the authors declare no conflict of interest related to the publication of this article.
S. S. Kharitonov
Russian Federation
Sergey S. Kharitonov, PhD in Economics, Associate Professor, Associate Professor at the Department of Theory and Systems of Industrial Management of the Faculty of Management and Innovation of the Institute of Management
82 Vernadskogo Ave., bldg. 1, Moscow 119571
Competing Interests:
the authors declare no conflict of interest related to the publication of this article.
References
1. Lyasnikov N.V., Usmanov D.I., Anishchenko A.N. Optimization of business processes of regional markets, industries and complexes based on economic and mathematical modeling in the context of an innovative economy. Moscow: RuScience; 2024. 260 p. (In Russ.).
2. Agrawal R., Wankhede V. A., Kumar A., Upadhyay A., Garza-Reyes J. A. Nexus of circular economy and sustainable business performance in the era of digitalization // International Journal of Productivity and Performance Management. 2022. Vol. 71. No 3. P. 748–774. https://doi.org/10.1108/IJPPM-12-2020-0676
3. Babayeva S., Orunova Z., Sachlyeva Sh., Tashliyev Sh. Automation and robotics systems: The future of industry. Ceteris Paribus. 2023;(10):49-51. (In Russ.).
4. Arents J., Greitans M. Smart industrial robot control trends, challenges and opportunities within manufacturing // Applied Sciences. 2022. Vol. 12. No. 2. Article. 937. https://doi.org/10.3390/app12020937
5. Afanasyev A.A., Provorova I.P., Fayzullin R.V. Industrial production demand for digital technologies: Global trends and Russian reality. Moskovskii ekonomicheskii zhurnal = Moscow Economic Journal. 2022;7(10):447-467. (In Russ.). https://doi.org/10.55186/2413046Х_2022_7_10_569
6. Xu X., Lu Y., Vogel-Heuser B., Wang L. Industry 4.0 and Industry 5.0 — Inception, conception and perception // Journal of Manufacturing Systems. 2021. Vol. 61. P. 530–535. https://doi.org/10.1016/j.jmsy.2021.10.006
7. Panteleev A.S., Shmatin A.K. Problems of digitalization and robotization in modern Russian realities. Avtomatizirovannoe proektirovanie v mashinostroenii. 2022;(13):155-158. (In Russ.). https://doi.org/10.26160/2309-8864-2022-13-155-158
8. Dobra Z., Dhir K. S. Technology jump in the industry: Human-robot cooperation in production // Industrial Robot: the international journal of robotics research and application. 2020. Vol. 47. No. 5. P. 757–775. https://doi.org/10.1108/IR-02-2020-0039
9. Elangovan U. Industry 5.0: The future of the industrial economy. Boca Raton, FL: CRC Press, 2021. 149 p.
10. Leng J., Sha W., Wang B., Zheng P., Zhuang C., Liu Q., Wuest T., Mourtzis D., Wang L. Industry 5.0: Prospect and retrospect // Journal of Manufacturing Systems. 2022. Vol. 65. P. 279–295. https://doi.org/10.1016/j.jmsy.2022.09.017
Review
For citations:
Lyasnikov N.V., Lyasnikova Y.V., Serebrennikov S.S., Kharitonov S.S. Implementation of innovative technologies based on automation and robotization of production of industrial business structures. Economics and Management. 2025;31(8):1079-1090. (In Russ.) https://doi.org/10.35854/1998-1627-2025-8-1079-1090