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The foundry industry is an important component of the economy on which other progressive industries depend. The reliability of the products it manufactures is determined by the technologies used, but, most importantly, it ensures the expected level of quality. The purpose of the article is to develop a synergistic quality-cost model for the improvement of casting products. The model is based on an integral methodological configuration that makes it possible to determine the level of relevance of the causes of casting nonconformity in the quality-cost context. The model integrates techniques such as the Pareto-Lorenz diagram, ranking, brainwriting, Ishikawa diagram, Likert rating scale, and matrix diagram. Verification of the method by its implication in the manufacturing process of a gearbox casting is performed. The model makes it possible to identify quality-cost relationships between key categories of problem causes and major product nonconformities. The main causes of the loss of quality stability of the analyzed product are found to be low quality of molding sand, poor technical condition of foundry equipment (too infrequent repairs and overhauls), and ineffective quality control. Carrying out the analysis made it possible to develop appropriate improvement measures. It is proposed to implement changes in the casting process, implement the TPM method, conduct periodic training, develop job instructions, implement a control system, and provide supervision of employees. Further research directions will concern the implications of the method within the other positions in the casting company and its development towards automation of analysis.
Rocznik
Tom
Strony
49--55
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
- Rzeszow University of Technology 12 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
autor
- Rzeszow University of Technology 12 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
autor
- Rzeszow University of Technology 12 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
Bibliografia
- 1. Biadacz, R. (2024) Application of Kaizen and Kaizen Costing in SMEs. Production Engineering Archives 30 (1), pp. 17‒35, doi: 10.30657/pea.2024.30.2.
- 2. Caban, R. (2020) The use of the Pareto-Lorenz diagram for qualitative analysis of steel rims. Proceedings of the 29th International Conference on Metallurgy and Materials (METAL 2020), pp. 1377‒1381, doi: 10.37904/metal.2020.3660.
- 3. Czerwińska, K. & Pacana, A. (2019) Analysis of the implementation of the identification system for directly marked parts ‒ DataMatrix code. Production Engineering Archives 23 (23), pp. 22‒26, doi: 10.30657/pea.2019.23.04.
- 4. Demian, M. & Demian, G. (2010) Journal of demerits method to determine the reliability for thermoelectric power station elements. Proceedings of the World Congress on Engineering, WCE 2010, vol. II, pp. 1505‒1508, June 30 ‒ July 2, 2010, London, U.K
- 5. Godzsák, M. & Gácsi, Z. (2013) Examination of aluminium based automotive casting. Materials Science Forum 729, pp. 91‒96, doi: 10.4028/www.scientific.net/MSF.729.91.
- 6. Goroshko, A., Royzman, V. & Pietraszek, J. (2014) Construction and practical application of hybrid statistically-determined models of multistage mechanical systems. Mechanika 20 (5), pp. 489‒493, doi: 10.5755/j01. mech.20.5.8221.
- 7. Heslin, P.A. (2009) Better than brainstorming? Potential contextual boundary conditions to brainwriting for idea generation in organizations. Journal of Occupational and Organizational Psychology 82 (1), pp. 129‒145, doi: 10.1348/096317908X285642.
- 8. Jorstad, J. & Apelian, D. (2008) Pressure assisted processes for high integrity aluminum castings. International Journal of Metalcasting 2, pp. 19‒39, doi: 10.1007/BF03355420.
- 9. Klimecka-Tatar, D. & Niciejewska, M. (2021) Smallsized enterprises management in the aspect of organizational culture. Revista Gestão & Tecnologia ‒ Journal of Management and Technology 21 (1), pp. 4‒24, doi: 10.20397/2177- 6652/2021.v21i1.2023.
- 10. Li, D., Slater, C., Cai, H. Hou, X., Li, Y. & Wang, Q. (2023) Joining technologies for aluminium castings ‒ A review. Coatings 13 (5), doi: 10.3390/coatings13050958.
- 11. Marković, S., Arsic, D., Nikolić, R.R., Lazić, V., Hadzima, B., Milovanovic, V., Dwornicka, R. & Ulewicz, R. (2021) Exploitation characteristics of teeth flanks of gears regenerated by three hard-facing procedures. Materials 14 (15), 4203, doi: 10.3390/ma14154203.
- 12. McDermott, O., Antony, J. & Sony, M. (2022) The use and application of Ishikawa’s seven basic tools in European organizations. International Journal for Quality Research 16 (4), pp. 1071‒1082, doi: 10.24874/IJQR16.04-07.
- 13. Miskinis, G.V. (2021) Transformation of the modern foundry. International Journal of Metalcasting 15 (4), pp. 1118‒1128, doi: 10.1007/s40962-021-00645-0.
- 14. Ostasz, G., Czerwińska, K. & Pacana, A. (2020) Quality management of aluminum pistons with the use of quality control points. Management Systems in Production Engineering 28 (1), pp. 29‒33, doi: 10.2478/mspe-2020-0005.
- 15. Pacana, A., Bednarova, L., Pacana, J., Liberko, I., Wozny, A. & Malindzak, D. (2014) Effect of selected factors of the production process of stretch film for its resistance to puncture. Przemysł Chemiczny 93 (12), pp. 2263‒2264.
- 16. Pacana, A. & Czerwińska, K. (2019) Analysis of the causes of control panel inconsistencies in the gravitational casting process by means of quality management instruments. Production Engineering Archives 25 (25), pp. 12‒16, doi: 10.30657/pea.2019.25.03.
- 17. Pacana, A. & Czerwińska, K. (2020) Comparative tests of the quality of the piston combustion chamber for a diesel engine. Tehnicki vjesnik ‒ Technical Gazette 27 (3), pp. 1021‒1024, doi: 10.17559/TV-20190112193319.
- 18. Pacana, A. & Czerwińska, K. (2023) Quality management support model in foundry enterprises. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 75 (147), pp. 5–13, doi: 10.17402/568.
- 19. Ponsignon, F., Kleinhans, S. & Bressolles, G. (2019) The contribution of quality management to an organization’s digital transformation: a qualitative study. Total Quality Management & Business Excellence 30 (sup1), pp. S17‒ S34, doi: 10.1080/14783363.2019.1665770.
- 20. Sajid, M., Wasim, A., Hussain, S. & Jahanzaib, M. (2018) Manufacturing feature-based cost estimation of cast parts. China Foundry 15 (6), pp. 464‒469, doi: 10.1007/s41230- 018-8084-4.
- 21. Shi, Y., Zhang, J., Wen, S., Song, B., Yan, C., Wei, Q., Wu, J., Yin, Y., Zhou, J., Chen, R., Zhou, W., Jia, H., Yang, H. & Nan, H. (2021) Additive manufacturing and foundry innovation. China Foundry 18 (4), pp. 286‒295, doi: 10.1007/ s41230-021-1008-8.
- 22. Siwiec D. & Pacana A. (2021) Model supporting development decisions by considering qualitative ‒ environmental aspects. Sustainability 13 (16), 9067, doi: 10.3390/ su13169067.
- 23. Skotnicka-Zasadzień, B., Wolniak, R. & Zasadzień, M. (2017) Use of quality engineering tools and methods for the analysis of production processes ‒ case study. Proceedings of the Second International Conference on Economic and Business Management (FEBM 2017) 33, pp. 240‒245, doi: 10.2991/febm-17.2017.31.
- 24. Staniszewska, E., Klimecka-Tatar, D. & Obrecht, M. (2021) Eco-design processes in the automotive industry. Production Engineering Archives 26 (4), pp. 131‒137, doi: 10.30657/pea.2020.26.25.
- 25. Stawowy, A. & Duda, J. (2012) Models and algorithms for production planning and scheduling in foundries current state and development perspectives. Archives of Foundry Engineering 12 (2), pp. 69‒74, doi: 10.2478/v10266-012- 0039.
- 26. Sütővá, A. & Grzincic, M. (2013) Creation of defects catalogue for nonconforming product identification in the foundry organization. Quality Innovation Prosperity ‒ Kvalita Inovacia Prosperita 17 (2), pp. 52‒58, doi: 10.12776/QIP. V17I2.238.
- 27. Tanujaya, B., Prahmana, R.C.I. & Mumu, J. (2022) Likert scale in social sciences research: Problems and difficulties. FWU Journal of Social Sciences 16 (4), pp. 89‒101, doi: 10.51709/19951272/Winter2022/7.
- 28. Torielli, R., Abrahams, R.A., Smillie, R.W. & Voigt, R.C. (2011) Using lean methodologies for economically and environmentally sustainable foundries. China Foundry 8 (1), pp. 74‒88.
- 29. Ulewicz, R. (2014) Practical application of quality tools in the cast iron foundry. Manufacturing Technology 14 (1), pp. 104–111, doi: 10.21062/ujep/x.2014/a/1213-2489/ MT/14/1/104.
- 30. Ulewicz, R. & Blašková, M. (2018) Sustainable development and knowledge management from the stakeholders’ point of view. Polish Journal of Management Studies 18 (2), pp. 363‒374, doi: 10.17512/pjms.2018.18.2.29.
- 31. Ulewicz, R. & Nový, F. (2019) Quality management systems in special processes. Transportation Research Procedia 40, pp. 113‒118, doi: 10.1016/j.trpro.2019.07.019.
- 32. Uyan, T.Ç., Santos Silva, M., Vilaça, P., Otto, K. & Armakan, E. (2023) Industry 4.0 foundry data management and supervised machine learning in low-pressure die casting quality improvement. International Journal of Metalcasting 17 (1), pp. 414‒429, doi: 10.1007/s40962-022-00783-z.
- 33. Wolniak, R. & Skotnicka-Zasadzień, B. (2014) The use of value stream mapping to introduction of organizational innovation in industry. Metalurgija 53 (4), pp. 709‒712.
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-a2b69859-88de-446d-b6eb-df5219f2c4f1