Industrial Economic Systems’ Digitalization: Problems and Consequences of Modern Technologies

Avdeeva, Irina; Polyanin, Andrey; Головина, Т.А.

doi:10.18500/1994-2540-2019-19-3-238-245

Cited by 24 publications

(12 citation statements)

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“…It is necessary to visualize needs and products, show successful consumer experience, explain and educate users, provide constant and convenient support. But this is a slightly different model and technologies, transactions and businesses that are almost impossible without digital platforms and an expanded understanding of consumption principles [10].…”

Section: Discussionmentioning

confidence: 99%

“…Using all the skills and capabilities that the HR has, he will help the organization to create a balanced and end-to-end development program that addresses all of these challenges. One of the examples of solving this program is the creation of an "umbrella" employee development program in the direction of Big Data [10]:  annual overview training for top management, where executives learn about the capabilities of Data Science and successful cases from around the world;  basic training for middle management aimed at showing the benefits of using Data Science and Machine Learning tools for different types of tasks;  hackathon for mixed teams of managers and data scientists where they learn to interact with each other;  regular online competitions for data maintainers on external data sets;  annual advanced case machine training for data scientists;  individual training for managers and datascientists.…”

Section: Theoretical Basismentioning

confidence: 99%

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Data Science and Big Data Technologies Role in the Digital Economy

Новиков¹

2020

TEM Journal

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This article explores the role of Data Science and Big Data technology in the modern digital economy. The author states that large and medium companies from retail trade and service sector show increased interest in using them. These technologies are actively used by banks, mobile operators and large manufacturing companies to analyze data on equipment failures and to reduce downtime, which allows reducing costs. The role of Big Data technology is to be a liquid product and a necessary condition to increase the profitability of enterprises through personalized customer service and predictive analytics. For today's Russian digital economy, it is very important to legalize a single definition of Big Data and to achieve the emergence of special data exchanges.

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Section: Discussionmentioning

confidence: 99%

Section: Theoretical Basismentioning

confidence: 99%

Data Science and Big Data Technologies Role in the Digital Economy

Новиков¹

2020

TEM Journal

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“…And only after confidence in the effectiveness and safety of the technology, it is launched for industrial implementation. Perspective technologies of digitalization on domestic enterprises are [3]:…”

Section: Theoretical Basismentioning

confidence: 99%

Digital Transformation of the Process of Creation of Aviation Techniques based on the Mind Sphere Platform

Novikov*,

Sazonov

2020

IJRTE

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The article is dedicated to the analysis of the digital transformation processes of the procedure of making aviation technics based on the usage of high technological platform MindSphere. The architecture and tools of the Siemens IIoT MindSphere open cloud operating system are reviewed. There are the capabilities of the MindSphere platform for the digital transformation of industrial enterprises. In theoretical part of this article, the authors consider perspective technologies of digitalization at domestic aviation enterprises, where the main factors are work in the sphere of introducing artificial intelligence and creating unique digital twins of aircrafts. The research is based on the comprehensive analysis and synthesis with the following forming of the final grade of the main results of realization of technological domestic enterprises’ transformation. In the course of the study, the task is to identify key areas and areas of technological transformation and the possibility of using promising information technologies (IT) systems. The article’s authors point out that for solution of tasks of predictive analytics, multivariate analysis, trend prediction, and pattern analysis based on artificial intelligence / machine learning methods aviation enterprises have to use technological abilities of the platform MindSphere. It is defined that the development a full-fledged virtual object model based on technologies included in the platform Mindsphere will allow solving a lot of problems during its development and also there comes up an opportunity to qualitatively analyze the various options for the developed product and optimize the time / expenses connected to its last development. During the conducted analysis, it was found out that technologies Siemens PLM (Product lifecycle) Software on the platform MindSphere allow making verified models aircraft, their units, components and systems, as well as conduct their virtual tests. For typical aviation systems and components of the solution suggest available libraries of customized models, due to which reliable calculations and rejection of part of field tests are possible. In the result of the conducted research authors come to the conclusion that with the help of the platform MindSphere enterprises, holdings, and even whole industries it will be able to close digital chains between the design, manufacture, and product operation.

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“…The standards and norms classification by type of work is carried out on the basis of a planning and accounting units classifier, which allows to establish whether the standardized work belongs to one or another type of work, the list of which is given in the Table 1. The standards classification by approval levels is based on a hierarchical principle (Avdeeva, Polyanin, & Golovina, 2019):…”

Section: Theoretical Basismentioning

confidence: 99%

Caclulation Structure of Labor Costs for the Research and Development

Новиков¹,

Sazonov²

2020

RWE

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The article is devoted to labor costs standards determination method for the preparation, organization and implementation of research and development (R&D). Labor costs norms and standards areas of use for R&D are defined. In the methodological part of the article, there is a proposed schematic representation of the calculating process of the labor intensity normative indicator. During the study, it was found that the number of communication possible forms between the change in the labor costs volume and the change in the standardized planning and accounting unit and analogue factors is limited to three, according to which calculation formulas for particular comparability coefficients are given in the article. The discussion in the article is based on features discussion of using experimental statistical and expert methods for determining standard indicators for labor costs comparing standard indicators.The result of the study is the multilateral algorithm development for determining the labor costs normative volume for a standardized object based on the use of two possible scenarios. In conclusion it was note that one of the ways to increase the determining efficiency of R&D cost is to further improve the legislative and normative-methodological framework for conducting this assessment, creating incentives for work performers to reduce costs with R&D quality necessary level, for example, by keeping them parts of the resulting savings.

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Industrial Economic Systems’ Digitalization: Problems and Consequences of Modern Technologies

Cited by 24 publications

References 0 publications

Data Science and Big Data Technologies Role in the Digital Economy

Data Science and Big Data Technologies Role in the Digital Economy

Digital Transformation of the Process of Creation of Aviation Techniques based on the Mind Sphere Platform

Caclulation Structure of Labor Costs for the Research and Development

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