Issue |
E3S Web Conf.
Volume 273, 2021
XIV International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2021”
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Article Number | 08017 | |
Number of page(s) | 9 | |
Section | Agricultural Management and Environmental Economics | |
DOI | https://doi.org/10.1051/e3sconf/202127308017 | |
Published online | 22 June 2021 |
Management tools in the context of NBIC convergence
1 Platov South-Russian State Polytechnic University (NPI), Prosveshcheniya str., 132, 346428 Novocherkassk, Russia
2 Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
3 Don State Technical University, sq. Gagarina, 1, 344003 Rostov-on-Don, Russia
4 Don State Agrarian University, o. Persianovsky, 346493, Russia
* Corresponding author: zelenkovalex@rambler.ru
In view of the potential global human factors threats, NBIC convergence in manufacturing systems requires new, sustainable approaches to HR management. The proposed methodology is based on the systems paradigm of Janos Kornai, which is used in the framework of BigData technologies, artificial intelligence, and blockchain. The problem of control, optimization and evolution of the human factor in NBIC-production cyber-physical systems is solved by means of the developed human-oriented concept of HR-resources management, the development of which occurs in a spiral, involving exit from the system to form new meanings and concepts. Each turn of the spiral is a self-organizing system. For the current stage of development, a cyber-physical system of interaction “Man” - “Machine” is proposed, based on global and double iterative connections, parallel analysis, scenario forecasting, machine learning, cognitive component and collective decision making. The developed human-oriented concept of HR-resources management allows you to control, optimize and develop human production activities, ensure iterative self-development and self-improvement of the system, guarantee the stability and safety of the system, maximize the percentage of return on human resources and reduce the level of opportunistic human behavior.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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