Improving the efficiency of the plastic waste processing process using industry 4.0 solutions

• Autorzy: Jura Przemysław

Identyfikatory

DOI

10.32056/KOMAG2025.2

• Języki publikacji: EN

Abstrakty

EN

The article focuses on the role of artificial intelligence (AI) in Industry 4.0, with particular emphasis on its application in the plastic waste processing process. In the face of growing challenges related to waste management and environmental protection, digital technologies play a key role in optimizing recycling processes, increasing efficiency and minimizing raw material losses. The article discusses in detail the use of AI in waste sorting automation, where intelligent algorithms using vision systems and spectral sensors allow for precise identification and segregation of different types of plastic. Solutions based on digital twins are also presented, which allow for simulation and optimization of production processes in a virtual environment. The author cites examples of AI implementations in recycling plants, such as AMP Robotics, Recycleye and ZenRobotics, which increased the efficiency of segregation and recovery of secondary raw materials by up to 30-40%. At the same time, the article analyzes the challenges related to the implementation of AI in the industrial sector. Key threats include the risk of cyberattacks, the growing dependence on autonomous systems, and potential social consequences, such as job losses in traditional industrial sectors. The author emphasizes the need to implement appropriate legal regulations, security policies, and educational programs that will allow for the sustainable use of artificial intelligence. In summary, the article presents AI as a key element of the transformation of industry 4.0, which can contribute to significant improvements in plastic waste processing. However, full use of the potential of this technology requires a strategic approach that takes into account both technological, social, and environmental aspects.

Słowa kluczowe

EN

industry 4.0; waste; plastics; artificial intelligence

PL

przemysł 4.0; odpady; tworzywa sztuczne; sztuczna inteligencja

• Wydawca: Instytut Techniki Górniczej KOMAG
• Czasopismo: Mining Machines
• Rocznik: 2025
• Tom: vol. 43
• Strony: 12--22
• Opis fizyczny: Bibliogr. 28 poz.

Twórcy

autor

Jura Przemysław

• Foundation Institute for Economic and Social Sciences (INES), M. Szeligiewicza 1, 40-074 Katowice, Poland

• https://orcid.org/0000-0002-7786-1592

Bibliografia

• [1] Siemens:"AI Implementation." [online]. Available: https://xcelerator.siemens.com/global/en/all-offerings/solutions/a/ai-implementation.html
• [2] Cloud geometry:"AI driven industrial iot solutions." [Online]. Available: https://www.cloudgeometry.com/case-studies/ai-driven-industrial-iot-solutions
• [3] Ranez N.:"ChatGPT and Similar Generative Artificial Intelligence (AI) for Smart Industry: Role, Challenges and Opportunities for Industry 4.0, Industry 5.0 and Society 5.0." University of Mumbai, 2023.
• [4] Antsolutions:"The Current Status of Artificial Intelligence in the Manufacturing Industry." [Online]. Available: https://antsolutions.eu/pl/blog/obecny-status-ai-w-przemysle-produkcyjnym/
• [5] BMW:"HOW AI IS REVOLUTIONISING PRODUCTION.," [Online]. Available: https://www.bmwgroup.com/en/news/general/2023/aiqx.html
• [6] Mathew D.:"Artificial Intelligence Powered Automation for Industry 4.0." New Horizons for Industry 4.0 in Modern Business, 2023.
• [7] F. W. P. N. G. G. S. M. K. A. Jan Z., "Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities." Expert Systems with Applications, vol. 216, 2023.
• [8] Soori M.:"AI-Based Decision Support Systems in Industry 4.0, A Review." Journal of Economy and Technology, 2024.
• [9] Liu L.:"Application, Development and Future Opportunities of Collaborative Robots (Cobots) in Manufacturing: A Literature Review." International Journal of Human–Computer Interaction, 2024.
• [10] L. J. S. K. C. A. P. R. Jia X.:"Industrial Artificial Intelligence in Industry 4.0 -Systematic Review." Challenges and Outlook, Vol. 8, IEEE Access No., 2020.
• [11] Tomra:"GAINnext™ AI-powered sorting system with deep learning technology." [Online]. Available: https://www.tomra.com/waste-metal-recycling/products/machines/gainnext
• [12] E. E. Agency:"Plastics,the circular economy and Europe′s environment." [Online]. Available: https://www.eea.europa.eu/en/analysis/publications/plastics-the-circular-economy-and
• [13] Nextek:"Recycling Plant Design." [Online]. Available: https://www.nextek.org/project/recycling-plant-design-2/
• [14] Alfiani F.:"Development and Threats of Artificial Intelligence in Industry and Workforce." Attribution-ShareAlike 4.0 International, 2024.
• [15] Arif A.:"An overview of cyber threats generated by AI." International Journal of Multidisciplinary Sciences and Arts, 2024.
• [16] Ciszewska-Mlinarič M.:"The Future Is Today Trends Shaping Business, Society and Leadership." Kozminski University, Warsaw, 2023.
• [17] Stój E.:"Amazon is developing another AI-related sector –New team will focus on agent-based AI." 2025. [Online]. Available: https://itreseller.pl/amazon-rozwija-kolejny-sektor-zwiazany-z-ai-nowy-zespol-skupi-sie-na-agentowej-sztucznej-inteligencji/
• [18] Gontarski M.:"Nike is developing its AI model. The design of the shoes will certainly be... peculiar." 2024. [Online]. Available: https://slai.pl/nike-opracowuje-swoj-model-ai/
• [19] TATA STEEL,"TATA STEEL Innovation," [Online]. Available: https://www.tatasteel.com/corporate/wealsomaketomorrow/innovation/
• [20] Robotics A.:"Automated Recycling with AI." [Online]. Available: https://ampsortation.com.
• [21] Stadler:"Case Study: Automated Sorting of Hard Plastics." [online]. Available: https://stadler-engineering.com/sorting-plants/dry-mixed-recyclables
• [22] Circularise:"Digital Twins to power circular business models in the electronics sector." [Online]. Available: https://www.circularise.com/video/c-servees-story
• [23] Recycleye:"SOLUTIONS WasteNet The world's largest dataset for waste." [Online]. Available: https://recycleye.com/wastenet/
• [24] Machinex "SamurAI® –Sorting Robot," [online]. Available: https://www.machinexrecycling.com/sorting/equipment/samurai-sorting-robot/
• [25] Zen Robotics:"Safe Sorting -Superior Waste Recycling Robots," [online]. Available: https://www.terex.com/zenrobotics
• [26] Alenizi F.:"The artificial intelligence technologies in Industry 4.0: Ataxonomy, approaches, and future directions," Computers & Industrial Engineering, 2023.
• [27] M. I. A. Zawadzki: "BIALYSTOK UNIVERSITY OF TECHNOLOGY FACULTY OF ENGINEERING MANAGEMENT," [Online]. Available: https://wiz.pb.edu.pl/wp-content/uploads/2024/04/Rozprawa-doktorska_mgr-inz.-Artur-Zawadzki.pdf?utm_source=chatgpt.com.
• [28] P. I. G. J. Bécue A.:"Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities," Artificial Intelligence Review, 2021.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).