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Proposal for Streamlining the CNC Machine Changeover Process Through the Application of the SMED Method

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In today’s highly competitive business environment, enhancing the efficiency of manufacturing processes is of critical importance. This research focuses on the application of the SMED methodology to increase the efficiency of the changeover process of a CNC machining center. The core of the study is a detailed analysis of the current state of production and changeover procedures on a selected machine. The process was monitored using video analysis of work operations. Based on this analysis, internal and external changeover activities were identified, and by eliminating inefficient steps, a set of improvement measures was proposed. As a result, a standardized changeover procedure was developed to optimize the overall process duration and improving maintenance systems. The final part of the study presents the outcomes of the improvement, expressed through reduced changeover time, along with a proposed economic evaluation of the implemented optimization measures.
Wydawca
Rocznik
Tom
Strony
451--457
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
  • Technical University in Zvolen Faculty of Technology Studentska 26, 960 01 Zvolen, Slovakia
  • Jan Evangelista Purkyně University in Ústí nad Labem Faculty of Mechanical Engineering Pasteurova 3334/7, 400 96 Ústí nad Labem, Czech Republic
Bibliografia
  • [1] Kafuku, J.M., 2019. Factors for effective implementation of lean manufacturing practice in selected industries in Tanzania. Procedia Manufacturing, 33, pp. 351-358. [https://doi.org/10.1016/j.promfg.2019.04.043].
  • [2] Nakajima, S., 1988. Introduction to TPM: Total Productive Maintenance. Cambridge, Mass: Productivity Press.
  • [3] Junior, R.G.P., Inácio, R.H., da Silva, I.B., Hassui, A. and Barbosa, G.F., 2022. A novel framework for single-minute exchange of die (SMED) assisted by lean tools. International Journal of Advanced Manufacturing Technology. Volume 119, pp. 6469-6487 [https://doi.org/10.1007/s00170-021-08534-w].
  • [4] Liker, J.K., 2004. The Toyota Way: 14 Management Principles from the World’s Greatest Manufacturer. New York: McGraw-Hill. ISBN 0071392319.
  • [5] Frank, G., Sturgeon, T.J., Benitez, G.B., Marodin, G.A. and Ferreira e Cunha, S., 2025. How Lean and Industry 4.0 affect worker outcomes and operational performance: A quantitative assessment of competing models. International Journal of Production Economics, 279, 109475. [https://www.sciencedirect.com/science/article/pii/S0925527324003323].
  • [6] Jonsson, P. and Lesshammar, M., 1999. Evaluation and improvement of manufacturing performance measurement systems – the role of OEE. International Journal of Operations & Production Management, 19(1), pp. 55-78. [https://doi.org/10.1108/01443579910244223].
  • [7] Engelmann, B., Schmitt, S., Miller, E., Bräutigam, V. and Schmitt, J., 2020. Advances in machine learning detecting changeover processes in cyber physical production systems. Journal of Manufacturing and Materials Processing, Volume 4(4). [https://doi.org/10.3390/jmmp4040108].
  • [8] Kang, N., Zhao, C., Li, J. and Horst, J.A., 2016. A hierarchical structure of key performance indicators for operation management and continuous improvement in production systems. International Journal of Production Research, Volume 54(22), pp. 6333-6350. [https://doi.org/10.1080/00207543.2015.1136082].
  • [9] Muchiri, P. and Pintelon, L., 2008. Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion. International Journal of Production Research, Volume 46(13), pp. 3517-3535. [https://doi.org/10.1080/00207540601142645].
  • [10] Becker, J.M.J., Borst, J. and van der Veen, A., 2015. Improving the overall equipment effectiveness in high-mix-low-volume manufacturing environments. CIRP Annals, 64, pp. 419-422. [https://doi.org/10.1016/j.cirp.2015.04.126].
  • [11] Bhade, S. and Hegde, S., 2020. Improvement of Overall Equipment Efficiency of Machine by SMED. Procedia Manufacturing, 24(2), pp. 463-472. [https://doi.org/10.1016/j.matpr.2020.04.298].
  • [12] Sousa, E., Silva, F.J.G., Ferreira, L.P., Pereira, M.T., Gouveia, R. and Silva, R.P., 2018. Applying SMED methodology in cork stoppers production. Procedia Manufacturing, 17, pp. 611-622. [https://doi.org/10.1016/j.promfg.2018.10.103].
  • [13] Rosa, C., Silva, F.J.G., Ferreira, L.P. and Campilho, R., 2017. SMED methodology: the reduction of setup times for Steel Wire-Rope assembly lines in the automotive industry. Procedia Manufacturing, 13, pp. 1034-1042. [https://doi.org/10.1016/j.promfg.2017.09.110].
  • [14] Antoniolli, I., Guariente, P., Pereira, T., Ferreira, L.P. and Silva, F.J.G., 2017. Standardization and optimization of an automotive components production line. Procedia Manufacturing, 13, pp. 1120-1127. [https://doi.org/10.1016/j.promfg.2017.09.173].
  • [15] Vieira, A.M., Silva, F.J.G., Campilho, R.D.S.G., Ferreira, L.P., Sá, J.C. and Pereira, T., 2020. SMED methodology applied to the deep drawing process in the automotive industry. Procedia Manufacturing, 51, pp. 1416-1422. [https://doi.org/10.1016/j.promfg.2020.10.197].
  • [16] Ferradás, P.G. and Salonitis, K., 2013. Improving changeover time: A tailored SMED approach for welding cells. Procedia CIRP, 7, pp. 598-603. [https://doi.org/10.1016/j.procir.2013.06.039].
  • [17] Antosz, K. and Pacana, A., 2018. Comparative analysis of the implementation of the SMED method on selected production stands. Technical Gazette, 25(Suppl. 2), pp. 276-282. [https://doi.org/10.17559/TV-20160411095705].
  • [18] Khakpour, R., Ebrahimi, A. And Seyed-Hosseini, S.-M., 2024. “SMED 4.0: a development of single minute exchange of die in the era of Industry 4.0 technologies to improve sustainability. Journal of Manufacturing Technology Management, Vol. 35 No. 3, pp. 568-589. [https://doi.org/10.1108/JMTM-08-2023-0333].
  • [19] Komendák, M., 2024. Application of the SMED Method to Improve the Efficiency of Production Equipment Changeovers: Master’s Thesis. Zvolen: Technical University in Zvolen, Faculty of Technology.
  • [20] IPA Slovakia, 2017. SMED. Blog article, 24 February. Available at: https://www.ipaslovakia.sk/clanok/smed [Accessed 29 April 2023].
  • [21] Boledovič, L., 2017. PDCA Cycle. Blog article, 25 February. Available at: https://www.ipaslovakia.sk/clanok/pdca-cyklus [Accessed 29 January 2024].
  • [22] Burieta, J., 2017. 5S Method – Standardisation and Visualisation. Blog article, 25 February. Available at: https://www.ipaslovakia.sk/clanok/5s-metoda [Accessed 29 April 2023].
  • [23] LeanProduction, 2024. Lean Manufacturing. [online] Available at: https://www.leanproduction.com/ [Accessed 3 March 2024].
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c0a0a689-b04b-4738-8bcd-87b64d09247c
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