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Smart production: features of assessing the level of personnel digital readiness

机译:智能制作:评估数字准备程度水平的特点

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摘要

The article considers contemporary digital transformation experiences. The analytical tools to support decision-making of its organizational and digital infrastructure development are offered here. In particular, directions for measuring the digital maturity of production in terms of institutional infrastructure are being explored. An evaluation methodology is proposed to identify the most important signs of the digital transformation of production, the degree of transformation of the production system, the identification of development the problem zones and the optimum trajectory of further development of production.The development of such a trajectory depends on the level of development of the Staff Digital Readiness Index (Smart Production). It includes such indicators as Digital Literacy Index (Initial Digitization), Digital Management Index (Digital Manageability), Digital Confidence Index (Digital Transformation). The authors see the possibility of optimizing the production system activity by simulating the possibility of transition from one state of the production system to another one, corresponding to the requirements of the digital maturity assessment. A Markov chain machine is used.The tools developed can provide a knowledge base for the analytical infrastructure of the production system. It focuses on the information infrastructure of smart manufacturing that allows to take advantage of intellectual technologies such as Big Data, machine learning, the industrial Internet of things.
机译:该文章考虑了当代的数字转型体验。在此提供支持其组织和数字基础设施开发决策的分析工具。特别是,正在探索用于测量制度基础设施的生产数字成熟度的方向。提出了评估方法,以确定生产的数字转型的最重要标志,生产系统的转换程度,识别出现问题区域和进一步发展的最佳轨迹。这种轨迹的发展取决于员工数字准备指数的发展水平(智能生产)。它包括数字识字指数(初始数字化),数字管理指数(数字可管理性),数字置信度指数(数字转换)等指标。作者可以通过模拟从生产系统的一个状态转换到另一个状态的可能性,了解对应于数字成熟度评估的要求的可能性来优化生产系统活动的可能性。使用Markov链条机。开发的工具可以为生产系统的分析基础设施提供知识库。它侧重于智能制造的信息基础设施,允许利用大数据,机器学习,工业互联网等智力技术。

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