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Method of improve the level of product quality

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Języki publikacji
EN
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EN
Meeting customers’ requirements and achieved the right level of product quality is key action of enterprises. It is being done by controlling the product, using for example non-destructive testing (NDT). But the NDT not indicating what is the root of incompatibility. Additionally, previous research does not include the decision methods, which would be related the identify the causes of the problem as part of improving the product quality. Therefore, the aim is supporting the process of improving the product quality level in the context of precisely identify the incompatibility and the root of their occurrence with including the solve decision problem. In this aim, it was assumed that using after the NDT research in connection way: brainstorming, cause and effect diagram, AHP method (Fuzzy Analytic Hierarchy Process) and the 5Why method, will be allowed on effective identify the root of the problem. The method test was carried out for the porosity on a welded mechanical seal made of steel 410, which was identified by the fluorescence method (FPI) in Podkarpacie enterprise. The analysis has shown the effectiveness of using after NDT the combined methods as part of identifying the incompatibility and precisely identifying the root of its occurrence in context of solving the decision problem. The proposed method can be used to improving the quality of other products, for example from the aviation and automotive industry, as part of meeting customer requirements. Originality is the combined NDT research with quality management techniques and supported the process of improving the quality level of the product by implementing in this sequence the fuzzy multicriteria decision method.
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1--7
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
  • Rzeszow University of Technology, The Faculty of Mechanical Engineering and Aeronautics al. Powstańców Warszawy 8, 35-959 Rzeszów, Poland
  • Rzeszow University of Technology, The Faculty of Mechanical Engineering and Aeronautics al. Powstańców Warszawy 8, 35-959 Rzeszów, Poland
Bibliografia
  • 1. Bilsel, R. U., Lin, D. 2012. Ishikawa Cause and Effect Diagrams Using Capture Recapture Techniques. Quality Technology & Quantitative Management, 9(2), 137-152. DOI: https://doi.org/10.1080/16843703.2012.11673282
  • 2. Chang, D.Y. 1996. Application of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res., 95 (3),649-655.
  • 3. Doshi, J.A., Kamdar, J.D., Jani, S.Y., Chaudhary, S.J. 2012. Root Cause Analysis using Ishikawa diagram for reducing radiator rejection. International Journal of Engineering Research and Applications (IJERA), 2(6), 684-689.
  • 4. Dziuba, S., Jarossova, M., Gołębiecka, N. 2014. Applying the 5 Why method to verification of non-compliance causes established after application of the Ishikawa diagram in the process of improving the production of drive half-shafts. Production Engineering Archives, 2(1), 16-19.
  • 5. Gazda A., et al. 2013. Study on improving the quality of stretch film by Taguchi method. Przemysł Chemiczny, 92(6), 980-982.
  • 6. Knop, K. 2020. Indicating and analysis the interrelation between terms – visual: management, control, inspection and testing, Production Engineering Archives 26(3), 110-121.
  • 7. Kusumawardani, R. P.; Agintiara, M. 2015. Application of Fuzzy AHP-TOPSIS Method for Decision Making in Human Resource Manager Selection Process. Procedia Computer Science, 72, 638-646. DOI: https://doi.org/10.1016/j.procs.2015.12.173
  • 8. Lawlor, K. B., Hornyak, M., J. 2012. Smart Goals: How The Application Of Smart Goals Can Contribute To Achievement Of Student Learning Outcomes. Developments in Business Simulation and Experiential Learning, 39, 259-267.
  • 9. Liliana, L., 2016. A new model of Ishikawa diagram for quality assessment, Conference: 20th Innovative Manufacturing Engineering and Energy Conference (IManEE) Location: Kallithea, GREECE: SEP 23-25, 2016. IOP Conference Series-Materials Science and Engineering, 161.
  • 10. Łuczak, A. 2012. Ocena ważności czynników strategicznych w gminie wiejskiej z wykorzystaniem rozmytego analitycznego procesu hierarchicznego. Journal of Agribusiness and Rural Development, 4(26), 43-56.
  • 11. Muhammed, R. N. et al. 2016. Defect Reduction in an Arc Welding Process Using Cause and Effect Diagram. Internationa Journal of Engineering and Innovative Technology (IJEIT), 5(11), 28-34. DOI:10.17605/OSF.IO/EU69N
  • 12. Ostasz, G., et al. 2020. Quality Management of Aluminum Pistons with the Use of Quality Control Points. Management Systems in Production Engineering 28(1), pp. 29-33.
  • 13. Pacana, A, Siwiec, D., & Bednarova, L. 2020. Method of Choice: A Fluorescent Penetrant Taking into Account Sustainability Criteria. Sustainability, 12(14), 5854, 1-21. DOI: https://doi.org/10.3390/su12145854
  • 14. Pacana, A., Siwiec, D. Bednarova, L. 2019. Analysis of the incompatibility of the product with fluorescent method. Metallurgy, 58(3-4), 337-340.
  • 15. Pacana, A., Siwiec, D., Bednarova, L., & Hajduova, Z. 2019. Wybrane metody zarządzania jakością stosowane do oceny druku etykiet. Przemysł Chemiczny, 98(1), 110-112. DOI: 10.15199/62.2019.1.17
  • 16. Peniwati, K. 2007. Criteria for evaluating group decision-making methods. Mathematical and Computer Modelling, 46(7-8), 935-947. DOI: https://doi.org/10.1016/j.mcm.2007.03.005
  • 17. Setyandi, A., Tjahyono, S., Haryadi, D. 2019. Analisa Kerusakan Screw pada Mesin Extruder di PT.X. Prosiding Seminar Nasional Teknik Mesin, 870-874.
  • 18. Sika, R., Rogalewicz, M., Kroma, A., Ignaszak, Z. 2020. Open Atlas of Detect as a Supporting Knowledge Base for Cast Iron Defects Analysis. Archives of Foundry Engineering, 1, 55-60.
  • 19. Siwiec, D., Bednarova, L., Pacana, A. 2020. Metoda doboru penetrantów dla przemysłowych badań nieniszczących. Przemysł Chemiczny, 99(5), 771-773. DOI: 10.15199/62.2020.5.18
  • 20. Siwiec, D.; Pacana A. 2020. Analysis of the Quality of Bearing Housing and Improving the Method of Identifying the Root of Incompatibility. Materials Research Proceedings, 17, 50-56. DOI: https://doi.org/10.21741/9781644901038-8
  • 21. Sofyalioğlu, Ç.; Öztürk, Ş. Application of grey relational analysis with fuzzy AHP to FMEA method. Doğuş Üniversitesi Dergisi 2012, 13(1), 114-130. DOI: 10.31671/dogus.2018.119
  • 22. Sygut, P., Krynke, M., 2017. Improving production of low pressure hoses, Production Engineering Archives, 17(4), 32-35.
  • 23. Tsai, H.-C.; Lee, A.-S.; Lee, H.-N.; Chen, C.-N.; Liu, Y.-C. An Application of the Fuzzy Delphi Method and Fuzzy AHP on the Discussion of Training Indicators for the Regional Competition, Taiwan National Skills Competition, in the Trade of Joinery. Sustainability 2020, 12(10), 4290. DOI: https://doi.org/10.3390/su12104290
  • 24. Ulewicz, R., 2014. Practical application of quality tools in the cast iron foundry, Manufacturing Technology 14(1), 104-111.
  • 25. Ulewicz, R., Selejdak, J., Borkowski, S., Jagusiak-Kocik, M. 2013. Process management in the cast iron foundry, METAL 2013 - 22nd International Conference on Metallurgy and Materials, Conference Proceedings, 1926-1931
  • 26. Uszczelnienie mechaniczne. https://www.aesseal.com/pl/resources/academy/czym-jest-uszczelnienie-mechaniczne (10.11.2020)
  • 27. Wong, K. Ch. 2011. Using an Ishikawa diagram as a tool to assist memory and retrieval of relevant medical cases from the medical literature. Journal of Medical Case Reports, 5(120), 1-3.
  • 28. Wybór metody badan nieniszczących, 2020. http://www.e-spawalnik.pl/?wybor-metody-badan-nieniszczacych,168 (access: 09.11.2020)
  • 29. Zielińska, M., Rucka, M. 2018. Non-destructive assessment of masonry pillars using ultrasonic tomography. Materials, 11(12), 1-16. DOI:10.3390/ma11122543
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2bdb30ee-d9d6-4265-bcec-ef5eb2cde433
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