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This paper explores and presents the importance and application of the Design of Experiments (DOE) method in scientific and industrial research. It analyses in detail the theoretical foundations of the method and then illustrates concrete examples and benefits of its use in an automotive environment. The introduction outlines the key principles and objectives of the DOE method, including optimization of experimental processes and minimization of variability of results. The publication focuses on the significant impact of this method in improving the efficiency of experiments and achieving reliable and reproducible results. The practical part of the paper presents concrete examples of the application of the DOE method in the automotive industry. Through this case study, it is highlighted how the DOE method enables the systematic investigation of the influence of different factors on experimental results, leading to a better understanding of the phenomena under investigation and an increase in process efficiency. Emphasis is also placed on the practical aspects of using the DOE method, including the design of experimental plans and the analysis of the data obtained. The case study outlines the challenges and benefits that can arise when implementing this method and presents new perspectives for future research in statistical experimental analysis. Overall, this research paper can be considered an important resource for researchers and practitioners seeking effective methods for planning and conducting experiments to achieve significant research results in various disciplines.
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Rocznik
Tom
Strony
65--74
Opis fizyczny
Bibliogr. 19 poz., fig., tab.
Twórcy
autor
- Faculty of Mechanical Engineering, VŠB - Technical University of Ostrava, 17. Listopadu 2172/15, Ostrava - Poruba, Czech Republic
autor
- Faculty of Mechanical Engineering, VŠB - Technical University of Ostrava, 17. Listopadu 2172/15, Ostrava - Poruba, Czech Republic
autor
- Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, Žilina, Slovakia
autor
- Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, Žilina, Slovakia
Bibliografia
- 1. Šajdlerová I., Schindlerová V., Kratochvíl J. Potential and limits of overall equipment effectiveness in the total productivity management. online. Advances in Science and Technology Research Journal. 2020; 14(2): 19–26. https:// doi.org/10.12913/22998624/113617 (Accessed: 18.03.2024)
- 2. Turečková K., Martinát S., Nevima J., Varadzin F. The impact of brownfields on residential property values in post-industrial communities: A study from the eastern part of the Czech Republic. Land. 2022; com/2073-445X/11/6/804 (Accessed: 18.03.2024)
- 3. Kučerová L., Burdová K., Marková V., Zálabský J., Ťavodová M. Using the design of experiments methodology to evaluate the heat treatment of additively manufactured maraging steel. Journal of Materials Research and Technology. 2023, 26(September–October 2023), 8688–8703. Available from: https://linkinghub.elsevier.com/retrieve/pii/ S2238785423022433 (Accessed: 18.03.2024)
- 4. Dhobe M., Chopde I., Gogte C. Optimization of wire electro discharge machining parameters for improving surface finish of cryo-treated tool steel using DOE. Materials and Manufacturing Processes. 2014; 29(11– 12): 1381–1386. Available from: http://www.tandfon- line.com/doi/abs/ 10.1080/10426914.2014.930890 (Accessed: 18.03.2024)
- 5. Aabid A., Murtuza M., Khan S, Baig M. Optimization of dry sliding wear behavior of aluminium-based hybrid MMC’s using experimental and DOE methods. Journal of Materials Research and Technology. 2022; 16(January–February 2022), 743–763. Available from: https://linkinghub.else- vier.com/retrieve/pii/S2238785421014484 (Accessed: 18.03.2024)
- 6. Anjum M., Khan M., Hassan S., Mahmood A., Qureshi H., Gidlund M. RSSI fingerprinting-based localization using machine learning in LoRa Networks. IEEE Internet of Things Magazine. 2020; 3(4): 53–59. Available from: https://ieeexplore.ieee. org/document/9319633/ (Accessed: 18.03.2024)
- 7. Afzal A., Aabid A., Khan A., Afghan Khan S., Rajak U., Nath Verma T., Kumar R. Response Surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows. Aerospace Science and Technology, 2020; 107(December 2020), 1–18. Available from: https://linkinghub.elsevier.com/retrieve/pii/ S1270963820310002 (Accessed: 18.03.2024)
- 8. Aabid A., Hrairi M., Ali J. Optimization of composite patch repair for center-cracked rectangular plate using design of experiments method. Materials Today: Proceedings, 2020; 27(2), 1713–1719. Available from: https://linkinghub.elsevier.com/retrieve/11(6): 1–21. Available from: https://www.mdpi. pii/S2214785320324214 (Accessed: 18.03.2024)
- 9. Prabhu P., Prabhu D., Rao P. Analysis of Garcinia indica Choisy extract as eco-friendly corrosion inhibitor for aluminum in phosphoric acid using the design of experiment. Journal of Materials Research and Technology, 2020; 9(3): 3622–3631. Available from: https://linkinghub.elsevier.com/retrieve/pii/ S2238785420301496 (Accessed: 18.03.2024)
- 10. Sujová E., Bambura R., Vysloužilová D., Koleda P. Use of the digital twin concept to optimize the production process of engine blocks manufacturing. Production Engineering Archives. 2023; 29(2): 168–174. Available from: https://www.sciendo.com/article/10.30657 pea.2023.29.20 (Accessed: 18.03.2024)
- 11. Šproch F., Schindlerová V., Šajdlerová I. Using 3D printing technology in prototype production to control the dimensions of complexly shaped products. Manufacturing Technology, 2020; 20(3): 385–393. Available from: https://journalmt.com/ doi/10.21062/mft.2020.061.html (Accessed: 18.03.2024)
- 12. Schindlerová V., Šajdlerová I. Use of the dynamic simulation to reduce handling complexity in the manufacturing process. Advances in Science and Technology Research Journal, 2020; 14(1): 81–88. Available from: http://www.journalssystem. com/astrj/use-of-the-dynamic-simulati on-to-re- duce-handling-complexity-in-the-manufacturing,113616,0,2.html (Accessed: 18.03.2024)
- 13. Tošenovský J. Planning experiments. Ostrava VSB Technical University of Ostrava, 2012. (in Czech)
- 14. Montgomery D. Design and Analysis of Experiments. Eighth edition. USA: John Wiley & Sons, Inc., 2013.
- 15. Antony J. Design of Experiments for Engineers and Scientists. Second edition. Elsevier Ltd., 2014.
- 16. Eriksson L, Johansson E, Kettaneh-Wold N, Wikström C, Wold S. Design of Experiments. Principles and Applications. 3rd. rev. and enlarged ed. Umetrics Academy, 2008.
- 17. Zichová J. Experiment planning and predictive multivariate analysis. Praha: Karolinum, 2007. (in Czech)
- 18. Jarošová E. Design of experiments and their analysis. Praha: Czech Society for Quality, 2007. (in Czech)
- 19. Sýkora, V. Using the DOE Method for Problem-solving of Noisy Parts in Automotive: Diploma’s Thesis. Ostrava: VSB Technical University of Ostrava. Faculty of Mechanical Engineering. Department of Mechanical Technology, Thesis Head: Schindlerova, V. 2023. (in Czech)
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7b69cbd1-4bfa-43b2-bbbc-429b47ab984c