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Management tools in the context of NBIC convergence

机译:NBIC收敛背景下的管理工具

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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.
机译:鉴于潜在的全球人为因素威胁,制造系统中的NBIC融合需要新的,可持续的人力资源管理方法。该提出的方法基于Janos Kornai的系统范式,它用于Bigdata Technologies,人工智能和区块链的框架。通过开发的人力资源管理的人类面向人的人为概念解决了NBIC-生产网络 - 物理系统的控制,优化和演化的问题,其开发在螺旋中发生,涉及退出系统形成新含义和概念。螺旋的每个转弯都是一个自组织系统。对于目前的发展阶段,基于全球和双重迭代连接,并行分析,场景预测,机器学习,认知组件和集体决策,提出了一种网络地理学互动“MAN” - “机器”。开发的人力资源管理的以人为本的人力资源管理概念允许您控制,优化和开发人类生产活动,确保系统的迭代自我开发和自我改善,保证系统的稳定性和安全性,最大限度地提高回报百分比论人力资源,减少机会人为行为水平。

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