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Improving the eco-efficiency of manufacturing processes with the use of Industry 4.0 technologies in the circular economy

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the article is to analyze the implementation of the Industry 4.0 technologies to improve eco-efficiency of manufacturing processes from the perspective of the development of innovative IT technologies in the circular economy. Design/methodology/approach: The research methods used in the article were desk research analysis of available source data on the functioning of Industry 4.0 technologies. Additionally, the author bases on the institutional and legal method. Analysis of selected documents and existing studies have allowed to obtain answers to the research questions and to describe the eco-efficiency of manufacturing processes. Findings: The Industry 4.0 technologies in the circular economy can contribute to improve the eco-efficiency of manufacturing processes. However, there are still some difficulties in creating the fully efficient processes in the circular economy. Research limitations/implications: The main limitation in carrying out the research is the difficult access to data about the quantity and quality of the eco-efficiency of manufacturing processes improving by the Industry 4.0 technologies. Practical implications: The results of analysis and the conclusions in this article can be used by managers of the different types of companies involved in the circular economy. The research impact upon the enterprise concentrating on the raising awareness of the benefits of using wide range of the Industry 4.0 technologies for improving the eco-efficiency of manufacturing processes. Originality/value: This article describes the benefits that can be obtained from the implementation of the Industry 4.0 technologies in the circular economy. The research issues related to development of the circular economy constitute a new area of research. The newly developed focus on improving eco-efficiency of the manufacturing processes by using the innovative IT technologies in the circular economy. The eco-efficiency of the manufacturing processes in the circular economy, examined from the point of view of the use of Industry 4.0 technologies, is an innovative research approach.
Rocznik
Tom
Strony
257--266
Opis fizyczny
Bibliogr. 23 poz.
Twórcy
  • Institute of Economic and Social Sciences; Szeligiewicza 1, 40-074 Katowice, Poland
Bibliografia
  • 1. Asem-Hiablie, S., Battagliese, T., Stackhouse-Lawson, K.R., Rotz, C.A. (2019). A life cycle assessment of the environmental impacts of a beef system in the USA. The International Journal of Life Cycle Assessment, 24(3), 441-455.
  • 2. Basset-Mens, C., Ledgard, S., Boyes, M. (2009). Eco-efficiency of intensification scenarios for milk production in New Zealand. Ecological Economics, 68(6), 1615-1625.
  • 3. Berkel, R. van (2007). Eco-efficiency in the Australian Minerals Processing Sector, Journal of Cleaner Production, 15, 772-781.
  • 4. Burchart-Korol, D., Kruczek, M., Czaplicka-Kolarz, K. (2016). Wykorzystanie ekoefektywności w ocenie poziomu ekoinnowacyjności, Available at: www.ptzp.org.pl/ files/konferencje/kzz/artyk_pdf_2013/p026.pdf, 04.04.2022.
  • 5. Ekins, P. (2005). Eco-efficiency. Motives, Drivers and Economic Implications. Journal of Industrial Ecology, Vol. 9, No 4, pp. 12-14.
  • 6. Hermann, M. et al. (2016). Design Principles for Industrie 4.0 Scenarios: A Literature Review. Available at: https://www.computer.org/csdl/proceedings/hicss/2016/5670/00/5670d928.pdf, 25.02.2022.
  • 7. Huppes, G., Ishikawa, M. (2005). A Framework for Quantified Eco-efficiency Analysis. Journal of Industrial Ecology, Vol. 9, 4, pp. 25-41.
  • 8. Kerin, M., Pham, D.T. (2019). A review of emerging industry 4.0 technologies in remanufacturing. J. Cleaner Product., 237, art. 117805.
  • 9. Kiełtyka, L. (2017). Narzędzia i technologie multimedialne wspomagające pracę menedżera we współczesnych organizacjach. Przegląd Organizacji, Nr 8, pp. 33-42.
  • 10. Kleibera, M. et al. (2011). Ekoefektywność technologii, pp. 11-16.
  • 11. Kuzior, A. (2013). Zrównoważone przedsiębiorstwo. In: Globalne konteksty poszanowania praw i wolności człowieka. Idee i rzeczywistość. Sosnowiec, pp. 15-30.
  • 12. Kuzior, A. (2014). Aksjologia zrównoważonego rozwoju. Banska Bystrica: Belianum.
  • 13. Kuzior, A., Arefieva, O., Poberezhna, Z., Ihumentsev, O. (2022). Sustainability, 14(6), 3258. DOI:10.3390/su14063258.
  • 14. Kuzior, A., Kwilinski, A., Tkachenko, V. (2019). Sustainable development of organizations based on the combinatorial model of artificial intelligence. Entrepreneurship and Sustainability, 7(2), 1353-1376. http://doi.org/10.9770/jesi.2019.7.2(39).
  • 15. Kuzior, A., Postrzednik-Lotko, K.A., Postrzednik, S. (2022). Limiting of Carbon Dioxide Emissions through Rational Management of Pro-Ecological Activities in the Context of CSR Assumptions. Energies, 15, 1825. https://doi.org/10.3390/en15051825.
  • 16. Kuzior, A., Zozulak, J. (2019). Adaptation of the idea of phronesis in contemporary approach to innovation. Management Systems in Production Engineering, 27(2), pp. 84-87.
  • 17. Mapa drogowa transformacji w kierunku gospodarki o obiegu zamkniętym przyjęta przez polski rząd w 2019 roku. Załącznik do uchwały nr Rady Ministrów z dnia 10 września 2019 r.
  • 18. Posada, J. et al. (2015). Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet. IEEE Computer Graphics and Applications, 35(2), pp. 26-40.
  • 19. Report Circular economy in Europe Developing the knowledge base (2016). European Environment Agency, No 2, pp. 13-14.
  • 20. Sommer, L. (2015). Industrial Revolution - Industry 4.0: Are German Manufacturing SMEs the First Victims of this Revolution? Journal of Industrial Engineering and Management JIEM, 8(5), pp. 1512-1532.
  • 21. Verfaillie, H.A., Bidwell, R. (2000). Measuring Eco-Efficiency - A Guide to Reporting Company Performance. World Business Council for Sustianble Develepoment.
  • 22. Yang, S., Raghavendra, A.M., Kaminski, J., Pepin, H. (2018). Opportunities for Industry 4.0 to support remanufacturing. Applied Science.
  • 23. Yin, S., Kaynak, O. (2015). Big Data for Modern Industry: Challenges and Trends [Point of View]. Proceedings of the IEEE, 103(2), pp. 143-146.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d29acb1a-4bd8-4685-a211-25256c7ff355
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