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Tytuł:
Towards a Self-Service Approach in the Printing Industry. An Investigation of State of the Art Technologies Along with Industry 4.0 Changes
Autorzy:
Urban, Wiesław
Łukaszewicz, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2064539.pdf
Data publikacji:
2021
Wydawca:
STE GROUP
Tematy:
Industry 4.0
servitization
mass-customization
printing industry
Opis:
It is commonly believed that the current economic state of many countries is at the stage of the fourth industrial revolution. The changes resulting from this revolution are affecting all sectors of the economy, including the printing sector. The aim of this article is to analyse the state of the art technology in sheetfed printing and then to identify the challenges for further changes in the technology of this type of printing as well as technological and organisational changes in the processes of preparation and realisation of printing products. The article uses case studies of selected technologies offered by key technology suppliers in this area and case studies of selected business entities – manufacturers of printing products. The research approach adopted in this article also takes conceptual work into account. It was found that the observed changes in the printing industry are consistent with the assumptions of the Industry 4.0 concept in the aspect of the digitisation and mass personalisation of products, which leads to the thesis that in the future personalised digital printing ordered through self-service will play a dominant role.
Źródło:
Multidisciplinary Aspects of Production Engineering; 2021, 4, 1; 232--244
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Przemysł 4.0 w Unii Europejskiej
The European Unions Approach to Industry 4.0
Autorzy:
Grabowska, Marta
Powiązania:
https://bibliotekanauki.pl/articles/558135.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Warszawski. Centrum Europejskie
Tematy:
Industry 4.0
European Union
Industry
Industrial Policy in the European Union
Opis:
The aim of this paper is to present the European Union’s (EU) approach to Industry 4.0. In order to do this the term “four industrial revolutions” is defined first. The Industry 4.0 development has been made possible as a result of Internet and other ICT technologies which were developed in the late-20th and early-1st centuries and which are described here The concept of Industry 4.0 originated in Germany, where it brought a new way of organising industry. This idea has since spread around the world. To present the overview of Industry 4.0 in the EU the term “industry” is defined and its place within international classifications of economic activities shown. EU industrial policy is briefly described to make clear that industry is a subject of European competition law and, in fact, industry must cope with the transformation itself. However, there are many ways to support this process but mainly on three levels: national, regional and European. This is the subject of further discussion in this paper. European countries and regions are creating plans to foster the developments of this form of industry – something which is expected to increase industrial efficiency by around 30%. The EU is strongly supporting this process. So far the development of Industry 4.0 has been most advanced in Europe. The paper concludes with a brief comparison of developments with the US and China.
Źródło:
Studia Europejskie - Studies in European Affairs; 2018, 3; 257-279
1428-149X
2719-3780
Pojawia się w:
Studia Europejskie - Studies in European Affairs
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinanty innowacyjności i elastyczności organizacji w dobie Industry 4.0
Determinants of Innovation and Flexibility of an Organization in the Industry 4.0 Era
Autorzy:
Rzepka, Agnieszka
Witkowski, Jacek
Czerwińska, Magdalena
Maciaszczyk, Magdalena
Powiązania:
https://bibliotekanauki.pl/articles/28825328.pdf
Data publikacji:
2024
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
innovations
industry 4.0
organization management
enterprises
innowacje
Industry 4.0
zarządzanie organizacją
przedsiębiorstwa
Opis:
Innowacje są niewątpliwie jedną z głównych sił napędowych wzrostu gospodarczego. Zdolność do kreowania i implementowania rozwiązań innowacyjnych jest aktualnie podstawowym miernikiem sprawności funkcjonowania przedsiębiorstwa na rynku. Celem artykułu było zidentyfikowanie kluczowych czynników wewnątrz organizacji w największym stopniu sprzyjających ich innowacyjności oraz elastyczności. Badaniem objęto 620 respondentów z różnych małych i mikroprzedsiębiorstw. W trakcie badań przeprowadzono następujące prace: deskresearch, indywidualny wywiad pogłębiony oraz badania ankietowe. Na podstawie uzyskanych wyników stwierdzono, że większość ankietowanych członków organizacji dostrzega ścisłą zależność pomiędzy innowacyjnością a kreatywnością. Badani menedżerowie doceniają wspólnotę norm, wartości oraz wzorców zachowań w organizacji jako istotny czynnik innowacyjności. Autorzy uważają, że przeprowadzone badania mogą urozmaicić i wzbogacić literaturę dotyczącą innowacji i adaptowania, wdrażania, a także stymulować współpracę organizacji w zakresie wdrażania innowacji.
Innovations are undoubtedly one of the main drivers of economic growth. The ability to create and implement innovative solutions is currently the basic measure of the efficiency of the company’s functioning on the market. The aim of the article was to identify the key factors within the organization that are most conducive to innovation and flexibility. The following works were carried out during the research: desk research, individual in-depth interview and a questionnaire. The survey covered 620 respondents from various micro and small enterprises. The methods used in the study were PAPI and CAWI. Based on the results obtained, it was found that most of the surveyed members of the organization see a close relationship between innovation and creativity. The surveyed managers also appreciate the community of norms, values and patterns of behavior in the organization as an important factor of innovation. The authors believe that the conducted research can diversify and enrich the literature on innovation and adaptation, implementation, as well as stimulate the cooperation of organizations in the implementation of innovations.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2024, 68, 1; 121-132
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Primer on the Cluster Impact on Internationalisation in the Form of FDI in the Time of Industry 4.0
Autorzy:
Götz, Marta
Powiązania:
https://bibliotekanauki.pl/articles/1019286.pdf
Data publikacji:
2020-06-30
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
cluster
Industry 4.0
internationalisation
FDI
Opis:
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.
Źródło:
European Spatial Research and Policy; 2020, 27, 1; 195-220
1231-1952
1896-1525
Pojawia się w:
European Spatial Research and Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Transformation towards Industry 4.0 - identification of research trends and aspect of necessary competences in the light of selected publications
Autorzy:
Gudanowska, A. E.
Powiązania:
https://bibliotekanauki.pl/articles/409397.pdf
Data publikacji:
2017
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
Industry 4.0
research trends
competence
Opis:
The concept of Industry 4.0 associated with the increasing digitization of the entire production system is often described as the fourth industrial revolution. The fourth wave assumes a progressive digitization of the value chain in the industry and the development of the networks of contractors, machines, objects, processes and systems that exchange information immediately. These new realities, determine the need to adapt and enhance the qualifications of workers in industrial enterprises. It is natural to ask about the set of competences that will be significant from the perspective of the transition towards Industry 4.0. General purpose of this article is to try to answer this question. In the first part of the article the concept of Industry 4.0 is briefly described. Special attention was paid to the analysis of the network of thematic areas, in which the publications related to this topic are presented. The final part of the article deals with an analysis of the set of competences that will be needed while working in the realities of the fourth industrial revolution.
Źródło:
Research in Logistics & Production; 2017, 7, 5; 431-441
2083-4942
2083-4950
Pojawia się w:
Research in Logistics & Production
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improvement of the Production Process in the Industry 4.0 Context
Autorzy:
Grabowska, S.
Powiązania:
https://bibliotekanauki.pl/articles/2064936.pdf
Data publikacji:
2018
Wydawca:
STE GROUP
Tematy:
production process
Ishikawa diagram
Industry 4.0
Opis:
Dynamically changing conditions of business activity, rapid development of new technologies, increasing intensity of competition, progressing globalisation pose for entrepreneurs new, much more difficult principles than before, especially due to the increase of intensity and complexity of the environment. It is reflected in the necessity of continuous improvement of processes and their quick reorganisation. The aim of the article is to present research conducted in metallurgical enterprise. In the article individual stages of heat treatment process, taking into consideration complications, errors and quality defects of the product arising at the stage of manufacturing the product were described. In order to minimize resulting defects, quality improvement system was implemented, using, among others Ishikawa diagram. In view of the fact that the world stands on the threshold of next industrial revolution, directions of improvement of heat treatment process in the context of Industry 4.0 were indicated.
Źródło:
Multidisciplinary Aspects of Production Engineering; 2018, 1, 1; 55--62
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Key directions in changes from steelworks 3.0 to steelworks 4.0 with analysis of selected technologies of digitalizing the steel Industry in Poland
Autorzy:
Gajdzik, Bożena
Powiązania:
https://bibliotekanauki.pl/articles/2175869.pdf
Data publikacji:
2022
Wydawca:
STE GROUP
Tematy:
steelworks 4.0
Industry 4.0
transformation
Opis:
The publication is part of a new trend in popularizing Industry 4.0. The primary objective is to present the key directions in the transformation of the steel industry from steelworks 3.0 to steelworks 4.0. The work was based on a literature review and data analysis on steel 4.0 technologies. The analytical part of the thesis was prepared on the basis of the Polish steel sector (sections from the classification of economic activities: 24 and 25). On the basis of the literature study, a thesis was formulated about the need to digitize processes in enterprises heading for Industry 4.0. The application of selected technologies (ICT) in the Polish steel sector (percentage of companies using the analyzed technologies in the total number of enterprises in the sector) constitutes the scope of the research. Further research will be carried out in the area of digitization development in steel Industry toward steel 4.0.
Źródło:
Management Systems in Production Engineering; 2022, 1 (30); 46--53
2299-0461
Pojawia się w:
Management Systems in Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efficient practices of cognitive technology application for smart manufacturing
Autorzy:
Sira, Mariya
Powiązania:
https://bibliotekanauki.pl/articles/2204125.pdf
Data publikacji:
2022
Wydawca:
STE GROUP
Tematy:
cognitive manufacturing
cognitive technology
Industry 4.0
Opis:
Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.
Źródło:
Management Systems in Production Engineering; 2022, 2 (30); 187--191
2299-0461
Pojawia się w:
Management Systems in Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards Metrology 4.0 in dimensional measurements
Autorzy:
Wieczorowski, Michal
Trojanowska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/2200256.pdf
Data publikacji:
2023
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
dimensional metrology
Industry 4.0
artificial intelligence
Opis:
The paper presents the transformations taking place in length and angle metrology related to Metrology 4.0, a measurement strategy resulting from Industry 4.0. Metrology in an industrial conditions is gradually focusing more and more on advanced measurement systems. The coming reality will see the development of communication between systems and their components, as well as the individual sensors belonging to them. The Internet of Things and artificial intelligence as well as the possibility of using augmented or virtual reality will play a momentous role. The demand for these technologies results in the development of new specialized software and hardware solutions, the use and availability of which are diametrically different compared to the past. Also, the use of AI and cybersecurity in metrology is a topic that is receiving increasing attention. Metrology 4.0 is therefore becoming a very important part of the functioning of industry, changing the philosophy and organization of measurements carried out on the basis of new measurement techniques.
Źródło:
Journal of Machine Engineering; 2023, 23, 1; 100--113
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Internet of Things in the accounting field – benefits and challenges
Autorzy:
Karmańska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/2100235.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
Internet of things
accounting
Industry 4.0
Opis:
The main objective of this paper is to identify the benefits and challenges of the Internet of Things (IoT) application in the accounting field of organisations. The study adopts a questionnaire and an interview technique in a company from the road transport sector. The questionnaire research sample includes 151 accounting practitioners and students. Data are collected through the use of an online survey. A principal axis factor analysis with the Promax rotation is conducted to assess the underlying structure for the items of the questionnaire. The research outcomes indicate that, in the opinion of accountants and students, the IoT adoption enables the organisation to perform enhanced reporting analysis based on a large amount of data gained through sensors (mean = 3.98), access to data through cloud computing (3.97), and accounting process automation (3.95). From the point of view of managers, the most important benefit is the increase in employee productivity and asset management. The respondents indicate the following aspects as challenges: the creation of infrastructure for the adoption of new technology, which accounted for 40.22% of the variance, and cyber security, loss of privacy (7.23% of the explained variance). The findings reveal benefits and challenges for IoT adoption and could support managers in deploying new technology in their organisations. The research limitation concerns the fact that this study focuses on respondents from Poland.
Źródło:
Operations Research and Decisions; 2021, 31, 3; 23--39
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Smart tool-related faults monitoring system using process simulation-based machine learning algorithms
Autorzy:
Ebrahimi Araghizad, Arash
Tehranizadeh, Faraz
Kilic, Kemal
Budak, Erhan
Powiązania:
https://bibliotekanauki.pl/articles/28407322.pdf
Data publikacji:
2023
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
Industry 4.0
machining
machine learning
monitoring
Opis:
In this paper a novel approach for monitoring tool-related faults in milling processes by utilizing process simulation-based machine learning algorithms, specifically Random Forest algorithms, for fault detection is presented. In order to train machine learning models in tool condition monitoring, laboratory tests have traditionally been required. This method eliminates the need for costly, time-consuming laboratory tests. The training process has been simplified by utilizing analytical simulation data and provides a more cost-effective solution by leveraging analytical simulation data. Based on the results of this study, the proposed approach has been demonstrated to be 94% accurate at predicting tool-related faults, demonstrating its potential to serve as an efficient and viable alternative to conventional methods. These findings have been supported by actual measurement data, with a notable accuracy rate of 93% in the predictions. Furthermore, the results indicate that process simulation-based machine learning algorithms will have a significant impact on the tools condition monitoring and the efficiency of manufacturing processes more generally. To further enhance the capabilities of the proposed fault monitoring system, process-related and machine-related faults will be investigated in future research. Several machine learning algorithms will be explored as well as additional data sources will be integrated in order to enhance the accuracy and reliability of fault detection.
Źródło:
Journal of Machine Engineering; 2023, 23, 4; 18--32
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Organizational Learning in Industry 4.0
Organizacyjne uczenie się w Przemyśle 4.0
Autorzy:
Lenart-Gansiniec, Regina
Powiązania:
https://bibliotekanauki.pl/articles/525896.pdf
Data publikacji:
2019-05-06
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
Industry 4.0
Industry 4.0 implementation learning organization
Industry 4.0 challenges
Przemysł 4.0
implementacja Przemysłu 4.0 organizacja ucząca się
wyzwania Przemysłu 4.0
Opis:
Globalisation and the scarcity of resources have contributed to the need to implement and meet higher customer expectations while reducing the number of employees, the workload, and resource depletion. This situation initiated Industry 4.0, the foundation of which is the implementation and dissemination of modern technologies related to process autonomization, artificial intelligence, and the Internet of Things. They are to contribute to improvements in terms of increased efficiency, decision-making, as well as the creation and maintaining of competitive advantage. Changes in the field of robotics, artificial intelligence, and automation technologies indicate that with the growth of their importance and implementation in organisations, changes need to be introduced in the management of organisations, particularly in the context of organisational processes that form the basis for making knowledge-based decisions. This article’s aim is to identify the meaning of organisational learning for Industry 4.0 implementation. For the purpose of the article, a literature analysis was carried out using the method of systematic literature review. A model on organizational learning within the Industry 4.0 was proposed. The results of analyses show that organisational learning is strictly related to Industry 4.0, as it stimulates the development, acquisition, transformation, and use of new knowledge, which is, in turn, crucial for the implementation of Industry 4.0. The article also proposes guidelines for management practitioners who may consider the introduction of Industry 4.0 tools into work as a challenge.
Globalizacja i niedobór zasobów przyczyniły się do konieczności realizacji i spełnienia wyższych oczekiwań klientów przy jednoczesnym zmniejszeniu liczby pracowników, nakładu pracy i zużyciu zasobów. Sytuacja ta zapoczątkowała Przemysł 4.0., u podstaw którego znajdują się wdrożenie i rozpowszechnienie nowoczesnych technologii powiązanych z automatyzacją procesów, sztuczną inteligencją oraz Internet of Things. Wszystko to ma przyczynić się do usprawnień, poprawy wydajności, podejmowania decyzji oraz generowania i utrzymania przewagi konkurencyjnej. Zmiany w dziedzinie robotyki, sztucznej inteligencji i technologii automatyzacji wskazują, że wraz ze wzrostem ich znaczenia i wdrażania w organizacjach, istnieje konieczność wprowadzania zmian w zarządzaniu, szczególnie w kontekście procesów organizacyjnych stanowiących podstawę do podejmowania decyzji opartych na wiedzy. Celem artykułu jest identyfikacja znaczenia organizacyjnego uczenia się dla implementacji Przemysłu 4.0. Zaproponowano model wdrożenia Przemysłu 4.0 z uwzględnieniem organizacyjnego uczenia się. Na potrzeby artykułu została przeprowadzona analiza literatury z wykorzystaniem metody systematycznego przeglądu literatury. Wyniki przeprowadzonych analiz wskazują, że organizacyjne uczenie się jest ściśle powiązane z Przemysłem 4.0, ponieważ stymuluje rozwój, pozyskiwanie, przekształcanie i wykorzystywanie nowej wiedzy, a co w dalszej kolejności ma znaczenie dla wdrożenia Przemysłu 4.0. W artykule zaproponowano także wskazówki dla praktyków zarządzania, którzy mogą uznać wprowadzenie narzędzi Przemysłu 4.0 do pracy za wyzwanie.
Źródło:
Problemy Zarządzania; 2019, 2/2019 (82); 96-108
1644-9584
Pojawia się w:
Problemy Zarządzania
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tooling systems with integrated sensors enabling data based process optimization
Autorzy:
Bleicher, Friedrich
Ramsauer, Christoph
Leonhartsberger, Martin
Lamprecht, Matthias
Stadler, Philipp
Strasser, Dominik
Wiedermann, Clemens
Powiązania:
https://bibliotekanauki.pl/articles/1428704.pdf
Data publikacji:
2021
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
condition monitoring
sensors integration
Industry 4.0
Opis:
Sensor integration into machining equipment has become an important factor for gaining deep process insights mainly driven by increasingly smaller and cheaper sensors and transmitters. Due to advances in microelectronics and communication technology, a broader field of applications in production processes and machine tools can be addressed using sensing devices and their implementation potentials. Ensuring a sensitive but robust data stream from close to the actual process allows not only reliable monitoring but also process and quality control based on sensor information. This paper provides an overview of the utilization of sensor data for the purpose of condition monitoring, model fitting and real-time control coping with stochastic effects. Examples of sensor integration in fields of injection molding, roll forming and heavy-duty milling comprise the state of the art of sensor implementation, data evaluation and possible feedback loops in the respective application scenarios.
Źródło:
Journal of Machine Engineering; 2021, 21, 1; 5-21
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The importance of prediction methods in industry 4.0 on the example of steel industry
Autorzy:
Gajdzik, Bożena
Powiązania:
https://bibliotekanauki.pl/articles/2064839.pdf
Data publikacji:
2019
Wydawca:
STE GROUP
Tematy:
steel production
Industry 4.0
prediction
forecasts
Opis:
This paper presents the importance of the prediction of steel production in industry 4.0 along with forecasts for steel production in the world until 2022. In the last two decades, the virtual world has been increasingly entering production. Today’s manufacturing systems are becoming faster and more flexible – easily adaptable to new products. Steel is the basic structural material (base material) for many industrial sectors. Industries such as automotive, mechanical engineering, construction and transport use steel in their production processes. Prediction methods in cyber-physical production systems are gaining in importance. The task of prediction is to reduce risk in the decision-making process. In autonomous manufacturing systems in industry 4.0 the role of prediction is more active than passive. Forecasts have the following functions: warning, reaction, prevention, normative, etc. The growing number of customized solutions in industry 4.0 translates into new challenges in the production process. Manufacturers must respond to individual customer needs more quickly, be able to personalize products while reducing energy and resource costs (saving energy and resources can increase the product competitiveness). The modern market becomes increasingly unpredictable. Production prediction under such conditions should be carried out continuously, which is possible because there is more empirical data and access to data. Information from the ongoing monitoring of the company’s production is directly transferred to the prospective evaluation. In view of the contemporary reciprocal use of automation, data processing, data exchange and manufacturing techniques, there is greater access to external data, e.g. on production in different target markets and with global, international, national, regional coverage. Companies can forecast in real time, and the forecasts obtained give the possibility to quickly change their production. Industry 4.0 (from the business objective point of view) aims to provide companies with concrete economic benefits – primarily by reducing manufacturing costs, standardizing and stabilizing quality, increasing productivity. Industry 4.0 aims to create a given autonomous smart factory system in which machines, factory components and services communicate and cooperate with each other, producing a personalized product. The aim of this paper is to present new challenges in the production processes in relation to steel production, as well as to prepare and present forecasts of (quantitative) steel production of territorial, global and temporary range until 2022, taking into account the applied production technologies (BOF and EAF). For forecasting purposes, classic trend models and adaptive trend models were used. This methodology was used to build separate forecasts for: total steel production, BOF steel and EAF steel. Empirical data is world steel production in 2000-2017 (annual production volume in Mt).
Źródło:
Multidisciplinary Aspects of Production Engineering; 2019, 2, 1; 283--295
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sustainable development potential of an old industrial region: the case of Ukraine
Autorzy:
Biloshkurska, Nataliia
Korniienko, Tetiana
Biloshkurskyi, Mykola
Powiązania:
https://bibliotekanauki.pl/articles/2163457.pdf
Data publikacji:
2022-06-30
Wydawca:
Politechnika Częstochowska
Tematy:
decentralization
industrial production
Industry 4.0
modernization
Opis:
The significance of this study is in the interpretation proposed by the authors of the definition of ‘sustainable development potential of an old industrial region’. The authors have identified and systematised the main components of the sustainable development potential of an old industrial region according to the main classification attributes such as finance, ecology, food security, sociocultural state, infrastructure, marketing of the region, and industrial production potential. The article has a theoretical character and is based on system-structural methods, comparative analysis, graphic method and logical generalization synthesis, induction and deduction, and dialectical and SWOT analysis. The features of the sustainable development of an old industrial region are the concentration of cities around large industrial agglomerations, environmental pollution, and the use of Industry 3.0 and Industry 2.0 obsolete technologies in industrial production. It has been proven that the complex problem of modernization in old industrial regions of Ukraine by transitioning to Industry 4.0 technologies requires necessary decisions to be taken at the level of state and local authorities, as well as the level of industrial owners.
Źródło:
Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie; 2022, 46; 22-31
2083-1560
Pojawia się w:
Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 249

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