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Implementation of the Models of Operational Research for the Solution of the CNC Machines Life Cycle

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Operational research is a significant part of management, based on improving efficiency, operability, and machine quality. Those improvements influence the time of the repair process, workforce availability for the repair process, safety, and environment. The main goal of this article is to investigate the optimal – operating service life of the machine and the optimal – operating time interval for the renewal of the CNC metalworking machine. The research was implemented in a small enterprise in Slovakia that needed a CNC machine in the production process. The research hypothesis was determined H1: Using quantitative models of operational research can manage the machine’s life cycle. We used quantitative mathematical models of operational research. By calculation, we found that the optimal – operational lifetime of the CNC machine is 6 years. The renewal time of the machine is between the 5th and 6th year of use with a minimal level of the total costs for repairs and maintenance. This simulation is essential information for the financial plan for CNC machine renewal. The results of the research showed a confirmed hypothesis. The suggested proactive model is a viable instrument for the machine park in small enterprises with various orientations.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
289--297
Opis fizyczny
Bibligr. 30 poz., rys., tab.
Twórcy
  • Technical University of Košice Department of Management of Earth Resources Park Komenského 19, 042 00 Košice, Slovak Republic
  • Technical University of Košice Department of Management of Earth Resources Park Komenského 19, 042 00 Košice, Slovak Republic
  • Technical University of Košice Department of Management of Earth Resources Park Komenského 19, 042 00 Košice, Slovak Republic
Bibliografia
  • [1] M. Cehlár, K. Teplická, K.S. Szabo, “Possibility of new mining project extracting in crisis conditions“. Acta Montanistica Slovaca, 14(4), 2009, pp. 314-322.
  • [2] N. Che-Yahya, Y. Matsuura, N.M. Le Thuy Ngoc, A., “Financial sources and firm´s innovation outputs: analysis of JASDAQ market”. International Journal of Business and Society, 23 (3), 2022, pp. 1317-1341. doi.org./10.33736/ijbs.5166.2022.
  • [3] A. Mecheter, F. Tarlochan, M. Kucukvar, “A review of conventional versus additive manufacturing for metals: Lifecycle environmental and economic analysis”. Sustainability, 15 (16), 2023, doi.org./10.3390/su151612299.
  • [4] S.A. Liu, W. Zheng, “Priority order recognition method of module redesign for the CNC machine tool product family to improve green performance”. Transactions of the Canadian Society for Mechanical Engineering, 45 (4), 2020, pp. 513-531. doi.org./10.1139/tcsme-2020-0190.
  • [5] M. Potkány, M. Gejdoš, P. Lesníková, J. Schmidtová, “Influence of quality management practices on the business performance of Slovak manufacturing enterprises”. Acta Polytechnica Hungarica, 17(9), 2020, pp. 161-180.
  • [6] J. Kádárová, R. Bajus, R. Rajnoha, “Optimal financing of the industrial enterprise”. 2nd Global conference on business, economics, managemet and tourism, 23(1), 2015, pp. 953-958. doi.org./10.1016/S2212-5671(15)00380-9.
  • [7] K. Teplická, K. Čulková, E. Manová, “Using of operation analysis models in selected industrial firm”. Acta Montanistica Slovaca. 17(3), 2012, p. 151-157.
  • [8] L. Bruckner, M. Oppelt, R. Rosen, M. Barth, L. Urbas, J. Jäkel, “The current and future use of simulation results of a survey fór process and discrete industries“. ATP Magazine, 4(1), 2021, pp. 64-73.
  • [9] M. Potkány, A. Hajduková, K. Teplická, “Target costing calculation in the woodworking industry to support demand during the global recession”. Drewno, 55 (187), 2012, pp. 89-104.
  • [10] K. Teplická, S. Hurná, J. Kádárová, “Comparison of using managerial Instruments in industry companies in Slovakia and the Czech Republic“. TEM Journal – Technology, Education, Management, Informatics, 8(4),2019, pp. 1191-1197. doi.org//10.18421/TEM84-12.
  • [11] S.V. Buer, M. Semini, J.O. Strandhagen, F. Sgarbossa, The complementary effect of lean manufacturing and digitalisation on operational performance. International Journal of Production Research. 2021, 59, pp. 1976-1992. doi.org/10.1080/00207543.2020.1790684.
  • [12] Z. Ivaničová, I. Brezina, “Quantitative methods for managers. The base of operational research“. Edition Economy. 1st. edition. p. 250, 1997. ISBN 80-88715-32-6.
  • [13] Z. Ivaničová, I. Brezina, J. Pekár“ Operational research“. Edition Economy. 1st. edition. p. 286, 2002, ISBN 80-89047-43-2.
  • [14] M. Devanda, C. Shekhar, S. Kaswan, “Fuzziefied imperfect repair redundant machine repair problems“, International Journal of System Assurance Engineering and Management. 15(4), 2023, pp. 1483-1502. doi.org./10.1007/s13198-023-01922-3.
  • [15] P. Koukaras, A. Dimara, S. Herrera, N. Zangrando, S. Krinidis, D. Ioannidis, P. Fraternali, C. Tjortjis, C.N. Anagnostopoulos, D. Tzovaras,” Proactive buildings: a prescriptive maintenance approach”, Artificial Intelligence Applications and Innovations, 652 (1), 2022, pp. 289-300. doi.org./10.1007/978-3-031-08341-9_24.
  • [16] E. Szwarc, G. Bocewicz, P. Golinska-Dawson, Z. Banaszak, “Proactive Operations Management: Staff Allocation with Competence Maintenance Constraints”, Sustainability, 15 (3), 2023. doi.org./10.3390/su15031949.
  • [17] G. Otic, G. Jovanov, Z. Adamovic, N. Jovanov, S. Jacimovski,”Proactive maintenance model based on tme law on change of mechanical vibration“. Acta Polytechnica Hungarica, 18(4), 2021, pp. 161-178.
  • [18] Š. Markulík, R. Turisová, A. Nagyová, T. Vilinský, R. Kozel, K. Vaskovicová, “Production process optimization by reducing downtime and minimalization of costs”. Advances in Physical, Social and Occupational Ergonomics, 273(1), 2021, pp. 220-227, doi.org./10.1007/978-3-030-80713-9_29.
  • [19] Ľ. Ambriško, K. Teplická,” Proactive maintenance as a tool of optimization for vehicle fleets in terms of economic and technical benefits”, Acta Polytechnica Hungarica, 18(8), 2021, pp. 235-249.
  • [20] M. Potkány, R. Stasiask-Betlejewska, M. Gejdoš, “Outsourcing in conditions of SMEs – the potential for cost savings”. Polish Journal of Management Studies, 13(1), 2016, pp. 145-456. doi.org./10.17512/pjms.2016.13.1.14.
  • [21] T.N. Ivanova, W. Bialy, A. Korshunov, J. Jura, K. Kaczmarczyk, K. Turczynski,” Increasing energy efficiency in well drilling”, Energie, 15(5), 2022, doi.org./10.3390/en15051865.
  • [22] J. Kajanová, S. Matúsová, P. Nováček, “Sustainable business in the European economic area”. Juridical Tribune – Tribuna Juridical, 12(4), 2022, pp. 495-508, doi.org./10.24818/TBJ/2022/12/4.04.
  • [23] M.H. Abidi, M.K. Mohammed, H. Alkhalefah, “Predictive maintenance planning for industry 4.0 using machine learning for sustainable manufacturing”, Sustainability, 14(6), 2022, 3387. doi.org./10.3390/su14063387.
  • [24] M. Balog, L. Knapčíková, “Advances of intelligent techniques used in Industry 4.0: proposals and testing”, Wireless Networks, 27 (3), 2021, pp. 1665-1670. doi:10.1007/s11276-019-02064-w.
  • [25] A.P. Gonzalo, T. Benmessaoud, M. Entezami, F.P.G. Márquez, “Optimal maintenance management of offshore wind turbines by minimizing the costs”, Sustainable Energy Technologies and Assessments, 52 (1),2022, 102230. doi.org/10.1016/j.seta.2022.102230.
  • [26] J. Husár, S. Hrehova, P. Trojanowski, S. Wojciechowski, V. Kolos,” Perspectives of Lean Management Using the Poka Yoke Method”, Lecture Notes in Mechanical Engineering, (1),2023, pp. 121-131. doi. org./10.1007/978-3-031-32767-4_12.
  • [27] Malega, P., Kádárová, J., Kobulnický, J., (2017), Improvement of production efficiency of tapered roller bearing by using plant simulation. International Journal of Simulation Modelling, 16(4):682-693. doi:10.2507/IJSIMM16(4)10.405.
  • [28] Š. Markulik, J. Petrík, M. Šolc, P. Blaško, P. Palfy, L. Girmanová, “The Relationship between Process Capability and Quality of Measurement System”, Applied Sciences, 12(12), 2022, 5825. 5825; 5825; doi.org/10.3390/app12125825.
  • [29] Y.H. Tsou, Y.F. Huang, S.C. Liu, M.H. Do, “The effects of total quality management and corporate social responsibility on firm performance: a future research agenda”, Journal of Asian Finance Economics and business, 8(4), 2021, pp. 277-287. doi: 10.13106/jafeb.2021.
  • [30] J. Šaderová, D. Marasová, J.Galliková, “Simulation as logistic support to handling in the warehouse: Case study”, TEM Journal, 7(1), 112, 2018.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6f8f67f6-5d65-4a37-9b1b-43c945d04f3f
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