The authors formulate the concept of Industry 4.0 within the modern economic theory and determine the fundamental provisions of the concept of knowledge economy. Also, the scientiﬁc and methodological approach to studying Industry 4.0 in the conditions of knowledge economy on the basis of the theory of economic growth is substantiated. The authors determine the main stages of formation of Industry 4.0 and the key indicators of its development and offer the criteria of evaluation of effectiveness of Industry 4.0 from the point of view of stimulating the development of knowledge economy.
The authors analyze the accumulated experience of formation and development of Industry 4.0 in the economic practice of different countries and systematize successful experience of formation of Industry 4.0. Also, potential future outlines of knowledge economy with developed or dominating Industry 4.0 are determined, and priorities of development of Industry 4.0 in modern economic systems that are characterized by different progresses in the sphere of knowledge economy formation are offered and substantiated.
Analyzes Industry 4.0 under a global perspective, focusing on the most advanced economies. Brings together the options for future industrial development that is technologically possible. Provides a qualitatively new impetus to economic growth. Provides different scenarios of implementation of advanced technologies, materials, energies on specific economies, representing different continents and realities.
Materials of scientific and practical conference are included in the collection of works «Digital economy and «the Industry 4.0»: problems and prospects», prepared by laboratory «Innovative industrial economy» of Peter the Great St. Petersburg polytechnical university together with a number of the scientific organizations, higher education institutions, the industry entities.
In the collection of scientific works materials according to the theory of development of digital economy in modern conditions of the global competition, practical realization of the concept «the Industry 4.0», to research of problems and prospects of development of innovative activity of economic systems and enterprise entities, use of tools and valuation methods of an industrial development of regions, industries, the entities are reflected.
In the collection works of scientists and specialists of a number of higher education institutions, Russian Academies of Sciences institutes, the organizations, organizations and the entities, representatives of bodies of the public, municipal administration and executive power of Russia and foreign countries are provided.
Materials of the collection will be useful to teachers, scientists, specialists of the industrial, scientific enterprises, the organizations and organizations, and also graduate students, undergraduates and students.
With an increasing number of companies applying smart manufacturing (Industry 4.0) technologies, and therefore gathering records from multiple enterprise data sources, a potential for big data analytics (BDA) is seemingly limitless. Still not every firm that implemented smart manufacturing reports gathering or making use of big data emerging from those processes, let alone extracting value from them. This study investigates business value creation mechanisms from BDA in smart manufacturing. Relying on several use cases and project stories described in publicly available sources, we analyze key drivers, applications, barriers, success factors, and business benefits of BDA in smart manufacturing. We summarize our findings in a comprehensive framework capturing first- and second- order effects of BDA implementation on Industry 4.0 processes. Our work aims at contributing to the body of knowledge on BDA and smart manufacturing, and at guiding practitioners in identifying and assessing various application scenarios for those technologies.
This book presents the latest research perspectives on how the Industry 4.0 paradigm is challenging the process of technological and structural change and how the diversification of the economy affects structural transformation. It also explores the impact of fast-growing technologies on the transformation of socioeconomic and environmental systems, and asks whether structural and technological change can generate sustainable economic growth and employment. Further, the book presents the basic innovations (new technologies, materials, energy, etc) and industrial policies that can lead to such a structural change.
It is generally known that software system development lifecycle (SSDL) should be managed adequately. The global economy crisis and subsequent depression have taught us certain lessons on the subject, which is so vital for digital transformation, for Industry 4.0. The paper presents the adaptive methodology of enterprise SSDL, which allows to avoid "local crises" while producing large-scale software. The methodology is based on extracting common ERP module level patterns and applying them to series of heterogeneous implementations. The approach includes a lifecycle model, which extends conventional spiral model by formal data representation/management models and DSL-based "low-level" CASE tools supporting the formalisms. The methodology has been successfully implemented as a series of portal-based ERP systems in ITERA oil-and-gas corporation, and in a number of trading/banking enterprise smart applications for other enterprises. Semantic network-based air traffic planning system, and a 6D-model-driven nuclear power plant construction support system are currently in progress.
The purpose of the paper is to determine the perspectives of diversification of educational services in the conditions of industry 4.0 on the basis of artificial intelligence (AI) training, determine the consequences of this process for academic and teaching staff and to develop recommendations for its practical implementation.
Transition to Industry 4.0 in the 21st century takes place in the conditions of past industrial revolutions of the 19th–20th centuries, which were accompanied by transformation of the system of public production. Technologies change very quickly, creating new factors of formation of not only inter-sectorial and inter-country, but also inter-subject, communications—between the state and entrepreneurial subjects, which stimulates the emergence of a new revolutionary stage of transition of countries to the concept “Industry 4.0”. Here the authors conduct aspect analysis of actual mechanism of tax stimulation of Industry 4.0 in modern Russia as one of state tool that allows influencing entrepreneurial subjects and receiving feedback—which determines effectiveness of the system of their interaction. © Springer Nature Switzerland AG 2019.
We have examined the main new competencies that should be matched by the specialist — managers of complex techno-technological and socio-economic systems in the era of information (digital) and industrial revolutions. We have also investigated what kind of overprofessional competencies the expert should have and what the system of its preparation includes. Having outlined and analyzed modern approaches to the creation of integrated systems of quality management and modern enterprise management, we have defined new requirements that a manager in the digital revolution era must meet for the digital economy, able to occupy a vacant niche in the labor market formed at the junction of classical engineering, information and management specialties. We are confident that today there is an urgent need to open new directions for targeted training of such specialists.
The formation of a new technological paradigm called “Industry 4.0” and the economic structure contributes to the transformation of social reality, in which all spheres of life and behavior of people radically change. The new model of labor and employment by analogy was called “Work 4.0”, it is intensively developed in countries with advanced economies and contains new opportunities, but, at the same time, risks. New forms of labor, cooperation and exchange are developing, the Internet connects people with cars and things. Labor activity becomes transparent and is controlled from the outside. As the boundaries of innovation expand and the opportunities for education improve, the quality of labor resources grows, but the profile of the employee and the requirements put upon him are being changed. Work becomes autonomous and mobile, and the performance of labor functions is associated with the mastery of many competences, among which lifelong learning and digital literacy is given special importance in the digital age. In Russia, the process of transformation of mass labor and employment is much slower, research focuses only on a few so-called “atypical” forms of employment. Therefore, the purpose of this study is to analyze the prevalence of new aspects and facets of labor among Russian workers connected with mobility and digital technology. Here secondary data of the RLMS-HSE reveal the prevalence of the use of the Internet in the broad masses of dependent workers (at enterprises, in organizations), a professional profile of employees has been drawn up, and the specifics of their work activities are indicated at the present time. Unfortunately, in Russia both the degree of use of the Internet in performing professional responsibilities, and the development of skills, in comparison with the developed countries, is still at a rather insignificant level. The main goal is regular development of digital competencies for both current and future employees. Refs 22. Tables 5.