PROFESSIONAL STANDARDS FOR PERSONNEL OF INDUSTRIAL ENTERPRISES ENGAGED IN THE DIGITAL TRANSFORMATION OF THEIR BUSINESS

2020 ◽  
Vol 3 (12) ◽  
pp. 104-107
Author(s):  
R. Yu. SOBOLEV ◽  

The article provides an overview of the problems of developing professional requirements for candidates for managerial positions in the field of digital business transformation and the introduction of innovative technologies into enterprise processes, currently united under the general name "Industry 4.0", and also developed general requirements that can be taken as a basis when developing professional standards.

Author(s):  
A. B. Sembin

This article highlights project management issues in the context of Kazakhstan’s digital transformation. The global crisis is forcing the government and industrial companies to be selective in defining priorities and support successful projects that have already shown results in practice. Based on research by experts from the Higher School of Economics, UNESCO and Accenture, following key areas have been identified for digital transformation: building a digital data management system, global relevance of research in digitalization, as well as the separation between industry and science in the transition to advanced innovative technologies. Kazakhstani industrial enterprises are experiencing a turning point in the implementation of advanced innovative technologies and R&D results. For industrial enterprises, the implementation of innovative projects is similar to R&D based on several factors: 1) the solution has to be assessed in terms of applicability; 2) it is usually implemented for the first time; 3) revision is necessary, taking into account the business needs, legislation, labor protection fire safety, ecology, etc. To scale up and leverage lessons learnt from successful projects, the Autonomous Cluster Fund has created a new tool – the Smart Industry Management Platform (SIMP). The SIMP platform is the result of 5 years of fruitful cooperation with industrial enterprises. Currently, one of the main priorities of the Autonomous Cluster Fund is to focus on developing the local Industry 4.0 ecosystem by helping industrial enterprises to accelerate their digital transformation. Using the platform approach in order to implement Industry 4.0 components in Kazakhstan will allow to develop new points of growth of the national economy, and ensure the integration of Kazakhstani companies into global value chains in the medium term.


2021 ◽  
Vol 5 (2) ◽  
pp. 49-58
Author(s):  
Kremena Marinova-Kostova ◽  
Ivaylo Kostov

Introduction. Industry 4.0 is a concept that is considered a new phase in the Industrial Revolution, closely related to the application of information technologies and the digital transformation of manufacturing. The main purpose is to be created a more holistic and more connected ecosystem, focused on supply chain management in industrial companies. Implementation of solutions in Industry 4.0 is mostly related to the concept of the Internet of Things (IoT). Mass deployment of this type of technology in industrial enterprises is the basis of the so-called Industrial Internet of Things (IIoT). Achieving interoperability in the IIoT requires the combination of two technologies: the Internet of Things and the Internet of People. Aim and tasks. This article describes the implementation of the concept of the Internet of Things in industrial enterprises, as a key technology factor for developing Industry 4.0. Results. A brief overview of the evolution of industrial production - from the beginning of the Industrial Revolution to the emergence of Industry 4.0 is made. The main principles for implementing Industry 4.0 solutions ensure that the entire production process is computerized. Industry 4.0 solutions are mostly associated with the concept of the Internet of Things (IoT) whose definition and essence are obtained in this article. Based on the various concepts of the IoT are presented solutions that can be used in the industry, namely: in consumer devices in technology used in public organizations in infrastructure applications in industrial applications, also called the Industrial Internet of Things (IIoT). Therefore, we can say that there is a significant potential for improving production processes as regards: optimization of operations, forecasting equipment support, inventory optimization, improving workers' security, shipping chain optimization, etc. Conclusions. The application of the Internet of Things in enterprises is an important and decisive step in the process of their digital transformation and transition to Industry 4.0. The interaction between humans and machines, carried out through Internet technologies, leads to the emergence of the Internet of Everything, which will be a basic concept in industrial production in the coming years. However, the role of man in the production process should not be completely eliminated, but solutions should be sought that support and intellectualize his work.


Author(s):  
L. Shabaltina ◽  
V. Garnova ◽  
V. Chesnokova

The article discusses the term “digital transformation”, aspects of the value chain, demonstrates the process of digital transformation based on the applied technologies of Industry 4.0, (the “Cognitive Geologist” project, AIS “Neftekontrol”, the “Smart Logistics” project) using the example of the largest oil and gas company in Russia.


Author(s):  
E. Kulyasova ◽  
N. Kulyasov ◽  
N. Grinev

This article is devoted to the development of a model for enhancing the development of the mineral fertilizer industry, which involves the use of a sequentially-parallel approach to implement state support measures and digital transformation of enterprises in this industry. Currently, there is a growing influence of Industry 4.0 and digital technologies on enterprises of the mineral fertilizer industry. These enterprises are of strategically important economic interest for the national economy, as they are objects whose hallmarks are their large-scale, high-tech, high level of dependence on environmental conditions. An analysis of the level of development of the mineral fertilizer industry made it possible to identify a high level of export orientation of the products of enterprises in this industry. The digital transformation of the mineral fertilizer industry is currently hampered by the one-sidedness of the adopted state programs for the development of the industry, which are based on an extensive increase in production capacities that can gradually solve the problem of physical deterioration of fixed assets, but which does not provide an effective institutional environment that stimulates the creation of innovations and the introduction of digital technologies. While the experience of leading countries indicates that the implementation of the Industry 4.0 concept, aimed at the widespread adoption of digitalization processes, can increase the organization’s innovative potential and ensure the world level of competitiveness of mineral fertilizer products. A model for enhancing the development of the mineral fertilizer industry is proposed, based on the use of a sequentially-parallel method in the development and implementation of a set of measures, the implementation of which covers all levels of management both to create and maintain a favorable innovative climate in the framework of macroeconomics as a whole, and to develop the interaction of participants in the industry level and at the level of industrial enterprises themselves.


Author(s):  
Toni Mihova ◽  
Ivelina Ivanova

The report examines the key role of human resources in implementing the digital transformation of business processes in Bulgarian industrial enterprises. The survey was conducted in fifty-eight industrial enterprises in Bulgaria; the participants in the study were 232 HR managers and specialists. The main method of research is the questionnaire and the paper contains the results of the analysis of this questionnaire


2020 ◽  
Vol 27 (1) ◽  
pp. 195-220
Author(s):  
Marta Götz

The novelty of Industry 4.0 (I4.0) as a research topic means that the literature covering the interrelations between digital business transformation and categories such as internationalisation, foreign direct investment (FDI), or clusters is scant. This paper shows that clusters may contribute to the advancement of I4.0 while at the same time they stimulate the internationalisation of indigenous firms and the inflow of foreign investors. Based on conceptual deliberations it develops a research agenda for exploring how clusters might affect OFDI and IFDI by facilitating the I4.0. It can advance our understanding on the spatial aspects of the ongoing business digital transformation.


2019 ◽  
pp. 23-38
Author(s):  
I. A. Zubritskaya

The article systematizes theoretical and methodological approaches to the economy and the organization of new industrial technologies, including Industry 4.0, the trends of influence of technical and technological megatrends on the economic development of society. Based on the theoretical and methodological framework refined interpretation of the concept "digital technology" and "digital transformation of manufacturing industry" and also developed the ideal model digital industrial enterprises included in the organizational-economic mechanism of the digital transformation of the manufacturing industry of the Republic of Belarus.


2019 ◽  
Vol 298 ◽  
pp. 00079 ◽  
Author(s):  
Ilya Kovalev ◽  
Ramil Nezhmetdinov ◽  
Denis Kvashnin

Currently, more and more managers of medium and large industrial companies are thinking about conducting a digital transformation of their enterprise. Each company is forced to strive to find an approach to optimizing production in order to remain competitive in the market. For industrial enterprises, this approach may be a digital transformation using the ideas of Industry 4.0. The digital transformation of an enterprise is a complex and multifaceted process that affects almost all levels of production. At the head of this whole process are data. Data on the work of production must be collected, stored, aggregated, transferred to various levels. Existing methods for storing data are not always suitable for working with BigData, new solutions are needed. The paper shows a comparison of the traditional approach to data aggregation and a promising direction based on the architecture of Data Lake.


2021 ◽  
Vol 14 (4) ◽  
pp. 433-444
Author(s):  
K. S. Mayorova ◽  
E. S. Balashova

Digital transformation is the foundation for the development of industrial enterprises and inevitably leads to interconnected changes in products, services, strategies, business processes and relations between enterprises and market segments. Smart production cannot develop effectively in the form of isolated projects since development is required in the context of market sectors. So industrial enterprises expand their ecosystems, and thanks to coordinated innovations, the active introduction and dissemination of their digital transformation processes begins. In the context of digitalization, the “smart” ecosystem is becoming a global and growing multisectoral environment not only for industrial enterprises, but also for all market participants – suppliers, partners, public organizations, customers, etc. These associations contribute to faster adoption of innovative technologies, connecting resources for maximum results, flexible response to sharp changes in the market, which, in the context of digital transformation, require enterprises to achieve comprehensive results. The purpose of this study is to identify and identify the features of the digital transition of industrial enterprises to the smart ecosystem. The author determined what conditions contribute to the emergence of fundamentally new ecosystems of industrial enterprises that initiate the active development of innovative technologies and products, as well as the emergence of new opportunities for expanding the sphere of activity. An analysis of the stages of creating an effective “smart” ecosystem of industrial enterprises was carried out, and the characteristics of each of them were identified. It is noted that this smart ecosystem development plan will allow industrial enterprises to make more effective preparations for active external cooperation even in limited industry conditions. The study identifies six key factors, which include: synchronization of the life cycles of the enterprise; providing intelligent software and network connectivity for traditional industrial products; use analytics to take stock of production activities and make decisions based on data from a variety of sources, including products connected to the network; in-house production should be flexible; the transition to a smart ecosystem should start with an all-as-a-service business model; creating and managing smart ecosystems. These factors affect the successful and efficient functioning of the smart ecosystem of industrial enterprises in modern conditions, which will subsequently allow the provision of personalized, contextual, innovative services that generate regular revenues.


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