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2023 | z. 181 Nowoczesność przemysłu i usług = Modernity of industry and services | 93--105
Tytuł artykułu

Trends in Data Processing Control in Continuous Production Systems

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: This paper presents application solutions related to the use of Fourth Industrial Revolution technologies in industry. The aim of the paper is including in a discussion about new trends in the development of information systems supporting monitoring, control and diagnostics of production processes. The objective was realised using the example of continuous production in steelworks.

Design/methodology/approach: The aim of the paper was realized in theoretical and practical part of the paper. The empirical part of the was the form of a case study - approach to mathematical model for predicting the enthalpy of foundry ladles.

Findings: The conclusion is simply: each industrial branch has to use own transformation path towards Industry 4.0.

Practical implications: Prepared approaches - based on analysis of trends in data processing control system in the continues production - can be used to build algorithm of predictive model in its system.

Research limitations/implications: The authors are aware of the limitations resulting from the excessive generality of the model, but they ensure that they will continue research on the implementation of Industry 4.0 technology in the metallurgical (metal) industry, with particular emphasis on the continuous course of manufacturing processes.

Originality/value: The value of the paper are prepared approaches to mathematical model for predicting the enthalpy of foundry ladles.(original abstract)
Twórcy
autor
  • VSTE - Institute of Technology and Business in České Budějovice, Czechia
  • Silesian University of Technology
  • Ivano-Frankivsk National Technical University of Oil and Gas, Ukraine
Bibliografia
  • 1. Ahuett-Garza, H., Kurfess, T. (2018). A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart Manufacturing. Manufacturing Letters, 15, 60-63. https://doi.org/10.1016/j.mfglet.2018.02.011.
  • 2. Benotsmane, R., Dudás, L., Kovács, G. (2018). The concept of autonomous systems in Industry 4.0. Advanced Logistic Systems, 12(1), 77-87, https://doi.org/10.32971/ als.2019.006.
  • 3. Berger, R. (2015). The Digital Transformation of Industry. Available online: www.rolandberger.com/publications/publication_pdf/roland_berger_digital_transformatio n_of_industry_20150315.Pdf, 2019-12-21.
  • 4. Bogner, E., Voelklein, T., Schroedel, O., Franke, J. (2016). Study based analysis on the current digitalization degree in the manufacturing industry in Germany. Procedia CIRP, 57, 14-19.
  • 5. Braglia, M., Gabbrielli, R., Marrazzini, L., Padellini, L. (2022). Key Performance Indicators and Industry 4.0 - A structured approach for monitoring the implementation of digital technologies. Procedia Computer Science, 200, 1626-1635. doi: 10.1016/j.procs. 2022.01.363.
  • 6. Branca, T.A., Fornai, B., Murri, M.M., Streppa, E., Schröder, A.J. (2020). The Challenge of Digitalization in the Steel Sector. Metals, 10(2), 288; https://doi.org/10.3390/ met10020288, https://www.mdpi.com/2075-4701/10/2/288/htm.
  • v 7. Cheng, J., Westman, J. (2020). Effects of Digitalization in Steel Industry Economic Impacts & Investment Model. Master of Science Thesis TRITA-ITM-EX 2020:280 KTH Industrial Engineering and Management Industrial Management. Stockholm, pp. 35-39.
  • 8. Danel, R., Otte, L., Kozel, R., Johanides, D., Vilamova, S., Janovska, K., Repka, M. (2016). Database Mirroring in Fault-Tolerant Continuous Technological Process Control, 83-86.
  • 9. Durlik, I. (2019). Strategie organizacji produkcji. Nowe koncepcje zarządzania. Seria: Podstawy Zarządzania. Warszawa: Placet.
  • 10. European Commission (2018). Re-Finding Industry-Report from the High-Level Strategy Group on Industrial Technologies. Bruxelles, Belgium.
  • 11. Fayol, H. (1909). L'exposee des principles generaux d'administration. Paris, France.
  • 12. Gajdzik, B., Wolniak, R. (2021). Digitalisation and Innovation in the Steel Industry in Poland-Selected Tools of ICT in an Analysis of Statistical Data and a Case Study. Energies , 14, 3034, 1-25, doi: 10.3390/en14113034, https://doi.org/10.3390/en14113034.
  • 13. Gajdzik, B. (2021). Transformation from Steelworks 3.0 to Steelworks 4.0: Key Technologies of Industry 4.0 and their Usefulness for Polish Steelworks in Direct Research. European Research Studies Journal, vol. 0(3B), pp. 61-71.
  • 14. Gajdzik, B. (2022). Diagnoza kierunków transformacji przemysłu stalowego w Przemyśle 4.0. Silesian University of Technology.
  • 15. Kagermann, H. (2015). Change Through Digitalization - Value Creation in the Age of Industry 4.0. In: H. Albach et al. (eds.), Management of Permanent Change (pp. 23-45). Wiesbaden: Springer Fachmedien.
  • 16. Kamiński, A. (2018). Inteligentna fabryka - nowe trendy w rozwoju systemów informatycznych dla przemysłu. Journal of Management and Finance, 16(3/2), 113-122.
  • 17. Kiel, D., Müller, J.M., Arnold, C., Voigt, K.I. (2017). Sustainable Industrial Value Creation: Benefits and Challenges of Industry 4.0. International Journal of Innovation Management, 21(8), 1-34.
  • 18. Lee, J. (2015). Smart Factory Systems. Informatik Spektrum, 38, 230-235.
  • 19. Lee, J., Bagheri, B., Kao, H. (2015). Research Letters: A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manuf. Lett., 3, 18-23.
  • 20. Mantravadi, S., Møllera, Ch. (2019). An Overview of Next-generation Manufacturing Execution Systems: How important is MES for Industry 4.0? Procedia Manufacturing, 30, 588-595. doi: 10.1016/j.promfg.2019.02.083
  • 21. Mcclellan, M. (2001). Introduction to manufacturing execution systems MES. Conf. Expo., 1-12.
  • 22. Neef, Ch., Hirzel, S., Arens, M. (5 September 2018). Industry 4.0 in the European Iron and steel industry: towards an overview of implementation and perspectives. Working document. Karlsruhe, Germany: Fraunhofer Institute for Systems and Innovation Research ISI. Industry 4.0 in the European Iron and Steel Industry: Towards an Overview of Implementations and Perspectives (fraunhofer.de); https://www.isi.fraunhofer.de/content/ dam/isi/dokumente/cce/2018/Industry-4-0-Implementation-and-Perspectives_Steel- Industry_Working%20document.pdf
  • 23. Ntamo, D., Lopez-Montero, E., Mack, J., Omar, C., Highett, M.J., Moss, D., Mitchell, N., Sou-latinork, P., Moghadam, P.Z., Zandi, M. (2022). Industry 4.0 in Action: Digitalisation of a Continuous Process Manufacturing for Formulated Products. Digital Chemical Engineering, vol. 3, art. no. 100025.
  • 24. Peters, H. (2016). Application of Industry 4.0 concepts at steel production from an applied research perspective. Presentation at 17th IFAC Symposium on Control, Optimization, and Automation in Mining, Mineral and Metal Processing. https://tc.ifac- control.org/6/2/files/symposia/vienna-2016/mmm2016_keynotes_peters.PowerPoint- Präsentation (ifac-control.org).
  • 25. Peters, H. (2017). How could Industry 4.0 transform the Steel Industry? Presentation at Future Steel Forum. Warsaw, 14.-15.6.2017. https://futuresteelforum.com/content- images/speakers/Prof.-Dr-Harald-Peters-Industry-4.0-transform-the-steel-industry.pdf
  • 26. Pichlak, M. (2020). Innowacyjność przedsiębiorstw z perspektywy opracowania i wdrażania rozwiązań Przemysłu 4.0. In: A. Michna, J. Kaźmierczak (eds.), Przemysł 4.0 w organizacjach (pp. 85-97). Warszawa: CeDeWe.
  • 27. Raptis, T., Passarella, A., Conti, M. (2019). Data Management in Industry 4.0: State of the Art and Open Challenges. IEEE Access, vol. 7, 97052-97093, https://doi.org/10.1109/ACCESS.2019.2929296
  • 28. Reis, M.S., Gins, G. (2017). Industrial Process Monitoring in the Big Data/Industry 4.0 Era: From Detection, to Diagnosis, to Prognosis. Processes, 5, 35; doi:10.3390/pr5030035.
  • 29. Romero, D., Vernadat, F. (2016). Enterprise information systems state of the art: Past, present and future trends. Comput. Ind., 79, 3-13.
  • 30. Skobelev, P.O., Borovik, S.Yu. (2017). On the way from Industry 4.0 to Industry 5.0: from digital manufacturing to digital society. International Scientific Journal "Industry 4.0", 2(6), 307-311.
  • 31. Śliwczyński, B. (ed.) (2015). Modelowanie systemu zarządzania przepływem materiałów i oceny efektywności procesów. Poznań: Wyższa Szkoła Logistyki.
  • 32. Ślusarczyk, B. (2018). Industry 4.0 - Are we ready? Polish Journal of Management Studies, 17(1), 232-248.
  • 33. Szymszal, J., Smoliński, A., Binczyk, F. (2006). Zastosowanie kart kontrolnych do liczbowej oceny procesu wytwarzania masy formierskiej. Archiwum Odlewnictwa, 19, 363-370.
  • 34. Tezel, B., Koskela, L. et al. (2009). The functions of visual management. University of Salford.
  • 35. Vermesan, O., Friess, P. (2014). Internet of Things. From Research and Innovation to Market Deployment. River Publishers, 11-15.
  • 36. Vernersson, F., Lindblad, F., Enerbäck, O. (2015). Den smarta industrin - Industriellt internet skapar möjligheter för svenska tillverkande företag.
  • 37. Werner, F., Woltsch, R. (2018). Data Processing in Industrie 4.0. Datenbank Spektrum, 15-25.
  • 38. Wortmann, F., Fluchter, K. (2015). Internet of Things Technology and Value Added. Business & Information Systems Engineering, 222-223
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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